Microbiological and Physicochemical Characteristics of ...

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Cooperation program Microbiological and Physicochemical Characteristics of Different Water Samples Used for Food Factories in Gaza City, Palestine Prepared By Moataz Mohammed Abu warda B.Sc. in Food Science and Teachnology Faculty of Agriculture and Environment AL-Azhar University- Gaza Supervisors Dr. Abd El- Raziq Salama Dr. Nahed Al Laham Prof. Abd El Rahman Khalaf Allah Assistant Prof. of Food Science & Technology Faculty of Agri & Environment Al- Azhar University Gaza Associate Prof. of Medical and molecular Microbiology Faculty of Applied Medical Sciences , Al- Azhar University- Gaza Prof. of food science and Teachnology Faculty of Agriculture, Cairo University-Giza A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master in Agriculture 2015

Transcript of Microbiological and Physicochemical Characteristics of ...

Cooperation program

Microbiological and Physicochemical Characteristics of

Different Water Samples Used for Food Factories in

Gaza City, Palestine

Prepared By

Moataz Mohammed Abu warda

B.Sc. in Food Science and Teachnology

Faculty of Agriculture and Environment

AL-Azhar University- Gaza

Supervisors

Dr. Abd El- Raziq Salama Dr. Nahed Al Laham

Prof. Abd El Rahman

Khalaf Allah

Assistant Prof. of Food Science

& Technology

Faculty of Agri & Environment

Al- Azhar University – Gaza

Associate Prof. of Medical and

molecular Microbiology

Faculty of Applied Medical

Sciences , Al- Azhar

University- Gaza

Prof. of food science and

Teachnology

Faculty of Agriculture, Cairo

University-Giza

A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree

of Master in Agriculture

2015

II

حمه الل بسم حيم الر الر

{وجعلن ا من الماء كل شيء حي أف لا يؤمنون }

03سورة الأنبياء

III

Didecation

I dedicate this work to:

My kind- hearted father and wonderful mother

My brothers and sisters

my friends

All people supported me

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Acknowledgments

I am grateful to Allah, who granted me the power and courage to finish this

study, without his help my effort would have gone a stray.

I would like to acknowledge my supervisors Dr. Abd Al Raziq Salama, Dr.

Nahed Al Laham and Prof. Abd El Rahman Khalaf Hllah for their continuous

support, guidance, constructive suggestions and energetic commitments to my

research.

Many thanks are extended to all my colleagues in the master Food

Technology program.

Special deep gratitude to my family for their unlimited support,

encouragement and affection.

Finally, my thanks to my wife, for the memorable days we shared together.

Moataz Abu warda

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List of contents

Dedication........................................................................................................... iii

Acknowledgment............................................................................................... iv

List of Tables...................................................................................................... viii

List of Figures..................................................................................................... ix

Abbreviation....................................................................................................... x

Abstract............................................................................................................... xii

Introduction........................................................................................................

Objectives...........................................................................................................

1

3

Review of Literature…………..........................................................................

3.1 Water sources............................................................................................

3.2 Water pollution.........................................................................................

3.3 Water and food industry..........................................................................

3.4 Microbiological quality of Water………………………………….........

3.4.1 Total plate count (TPC) …………………………………............

3.4.2 Total coliform………………………………….............................

3.4.3 Fecal coliforms…………………………………...........................

3.4.4 Fecal streptococci …………………………………......................

3.4.5 Pseudomonas aeruginosa...............................................................

3.4.6 Mold and yeast................................................................................

3.5 Chemical and physical properties of water……………………………..

3.5.1 Total dissolved substance (TDS)…………………………………

3.5.2 Chloride..........................................................................................

3.5.3 Calcium...........................................................................................

3.5.4 Sodium............................................................................................

3.5.5 Magnesium......................................................................................

3.5.6 Potassium........................................................................................

3.5.7 Nitrates and nitrites.........................................................................

3.5.8 Biochemical oxygen demand………………………………......

3.5.9 Hardness..........................................................................................

3.5.10 Turbidity.......................................................................................

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3.5.11 Electrical conductivity ………………………………….............

3.5.12 pH.................................................................................................

3.5.13 Temperature..................................................................................

3.6 Water quality standards…………………………………........................

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Materials and Methods......................................................................................

4.1 Materials...................................................................................................

4.1.1 Samples...........................................................................................

4.1.2 Collection of water samples............................................................

4.1.3 Equipment and Instruments............................................................

4.2 Methods....................................................................................................

4.2.1 Methods of sampling……………………………………………...

4.2.2 Microbiological analysis................................................................

4.2.2.1 Microbiological media and determination.......................

4.2.2.2 Biochemical test................................................................

4.2.2.3 Membrane filters (MF).....................................................

4.2.3 Chemical and physical analysis of water samples.....................

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Results.................................................................................................................

5.1 Microbiological Analysis..........................................................................

5.1.1 Microbiological analysis of water samples that collected from

juices and carbonated beverages factories.....................................

5.1.2 Microbiological analysis of ice cream factories............................

5.1.3 Microbiological analysis of bakery factories................................

5.1.4 Microbiological analysis of oriental sweets factories...................

5.1.5 Microbiological analysis of cake and pytefor factories................

5.1.6 Microbial contamination of water samples that collected from all

five group factories.........................................................................

5.2 Physicochemical analysis........................................................................

5.2.1 Physicochemical analysis of water samples from juices and

carbonated beverages factories...................................................

5.2.2 Physicochemical analysis of water samples from ice cream

factories…………………………………………

5.2.3 Physicochemical analysis of water samples from bakery

factories………………………………………………………….

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5.2.4 Physicochemical analysis of water samples from oriental sweets

factories….………………………………………………………

5.2.5 Physicochemical analysis of water samples from cake and

pytefor factories….……………………………………………....

5.2.6 Average physicochemical analysis of water samples five

group factories................................................................................

5.2.7 Questionnaire..................................................................................

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Discussion………………………………………………………………………

6.1 Microbiological quality of used water………………………………….

6.2 Physicochemical quality of used water……………....………………….

Summary.............................................................................................................

Conclusio.............................................................................................................

Recommendation……………………………………………………………....

Arabic summary.................................................................................................

References...........................................................................................................

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List of Tables

Table No Titles Page

1. Water Microbiological Standards 40

2. Water Physical Standards 40

3. Water Shemical Standards 41

4. Number and Distribution of Samples 42

5. Microbiological assessment of water samples collected

from Juices and carbonated beverages factories

57

6. Microbiological assessment of water samples collected

from ice cream factories

58

7. Microbiological assessment of water samples collected

from Bakery factories.

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8. Microbiological assessment of water samples collected

from oriental sweets factories.

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9. Microbiological assessment of water samples collected

from Cake and pytefor factories .

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10. Microbial contamination in water of all five group factories 67

11. Average of Physicochemical parameters at at water from

Juices and carbonated beverages factories

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12. Average of Physicochemical parameters at at water from

ice cream factories

70

13. Average of Physicochemical parameters at at water from

Bakery factories

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14. Average of physicochemical parameters at at water from

Oriental Sweets factories

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15. Average of Physicochemical parameters at water from

Cake and Pytefor factories

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16. Average Physicochemical parameters for five group

factories

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17. Analysis of the Questionnaire 83

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List of Figures

Figures No Title page

1. Water samples according to categories of food factories. 56

2. Percentage of aerobic bacteria TPC in water sample collected

from Gaza factories. 62

3. percentage Contamination of TC in water sample collected

from Gaza factories. 63

4. percentage Contamination of FC in water sample collected

from Gaza factories. 63

5. percentage Contamination of FS in water sample collected

from Gaza factories. 64

6. Percentage contamination of PS in water samples collected

from Gaza factories. 65

7. Percentage contamination of Mold in water samples

collected from Gaza factories. 65

8. Percentage contamination of Yeast in water samples collected

from Gaza factories 66

9. Percentage contamination in all water samples that collected

from Gaza factories 68

10. Total Dissolved Solids in water all sample collected from

Gaza factories 75

11. Chloride in water all sample collected from Gaza factories

75

12. Calcium in water all sample collected from Gaza factories 76

13. Sodium in water all sample collected from Gaza factories 77

14. Magnesium in water all sample collected from Gaza

factories 77

15. Potassium in water all sample collected from Gaza factories 78

16. Nitrite in water all sample collected from Gaza factories 78

17. Nitrate in water all sample collected from Gaza factories 79

18. Biological Oxygen Demand in water all sample collected

from Gaza factories 79

19. Hardness in water all sample collected from Gaza factories 80

20. Turbidity in water all sample collected from Gaza factories 81

21. Electric conductivity in water all sample collected from Gaza

factories. 81

22. pH value in water all sample collected from Gaza factories 82

23. Temperature in water all sample collected from Gaza factories 82

X

Abbreviation

APHA American Public Health Association

API Analytical Profile Index

ARMCANZ Agriculture and Resource Management Council of Australia

and New Zealand

AWWA American Water Works Association

BOD Biological Oxygen Demand

Ca calcium

CAICW Chemical Analysis of Inorganic Constituents of Water

CDC Centers for Disease Control

CFU Colony Forming Uunit

Cl chloride

CMWU Coastal Municipalities Water Utility

COD Chemical Oxygen Demand

DAFF Department of Agriculture Fisheries and Forestry

DNHW Department of National Health and Welfare

DO Dissolved Oxygen

EC Electric conductivity

EDTA Ethylene Diamine Tetraacetic Acid

EPA Environment Protection Agency

EU European Union

FC Fecal coliforms

FS Fecal streptococci

GDWQ Guidelines for drinking-water quality

GLC Great Lakes Commission.

GPFH General Principles of Food Hygiene

HCL Hydrochloric acid

IGRAC International Groundwater Resources Assessment Centre

ILSL International Life Sciences Institute

K Potassium

KSU Kent State University

LVEMP Lake Victoria Environmental Management Program

Ma Magnesium

MF Membrane filters

M-FC Medium- Fecal coliforms

Mg Millie gram

Mgal Million of Gallons

Ml Millie Liter

MNE Ministry of National Economy

MS (μs) Microohms

Na Sodium

NaOH Sodium Hydroxide

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NHMRC National Health and Medical Research Council

NIH National Institutes of Health

Nm Nanometer

NO2 Nitrite

NO3 Nitrate

NRC National Resources Council

NRCC National Research Council of Canada

NTU Nephelometric Turbidity Unit

NWAC National Water Awareness Campaign

OECD Organisation for Economic Co-operation and Development

ONPG o-nitrophenyl-β-D-galactoside

PCBS Palestinian Central Bureau of Statistics

PCL Prevention and Control of Legionella

PS Pseudomonas aeruginosa

PWA Palestinian Water Authority

RWPH Region of Waterloo Public Health

SCA Statistics, Commonwealth of Australia

T Turbidity

TC Total Coliform

TDS Total dissolved solids

TFST Trends in Food Science & Technology.

TH Total Hardness

TPC Total Plate Count

UNEP United Nations Environment Programme

UNWW United Nations World Water

USA United States

USEPA United States . Environmental Protection Agency

UV Ultra Violet

WHO World Health Organization

WWAP World Water Assessment Programme

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Abstract

Microbiological and Physicochemical Characteristics of Different Water

Samples Used for Food Factories in Gaza City, Palestine

This study was conducted on 90 water samples that collected from different

factories overall Gaza city. The investigation was done during the period of five months

from August and September 2011. These factories were divided into five categories of

food factories including Juices and carbonated beverages factories, Bakery factories, ice

cream factories, Oriental sweets factories, and finally Cake and pytefor factories. From

each category, 18 water samples were collected and assessed for its physico-chemical and

microbiological properties.

All collected water samples that obtained from these food factories under this study

in Gaza city were examined and assessed for the microbiological parameters such as

Aerobic total plate count, Total coliform, Fecal coliform, Fecal streptococci, Pseudomonas

aeruginosa, and Fungi (molds & yeast). Also, the physicochemical prameters such as

Temperature, Electrical Conductivity, Turbidity, pH according , Total Dissolved Solids,

Nitrite, Nitrate ,Chloride, Calcium, Magnesium, Potassium, Sodium, Hardness, and

Biological Oxygen Demand(BOD) were measured and evaluated.

Regarding the microbiological results, the aerobic bacteria were found in 76

samples out of 90, which represented (84.4%) of the total samples tested. Total Coliform

was found in 70 samples out of 90 which represented (77.7%) of the total samples tested.

Fecal coliform was found in 55 samples out of 90 which represented (61.1%) of the total

samples tested, Fecal streptococci was found in 38 samples out of 90 which represented

(42.2%) of the total samples tested. However, Pseudomonas aeruginosa was found in 56

samples out of 90 which represented (62.2%) of the total samples tested. Meanwhile,

Mold was found in 17 samples (18.8%) of the total samples tested and Yeast was found

in 22 samples (24.4%) of the total samples tested.

The results of physico-chemical analysis showed different and variable levels of

average concentration of Total dissolved solids, chloride, calcium, sodium, magnesium,

potassium, nitrite, nitrate and total hardness which was in most of estimation above the

allowable limit of Palestinian standard and also the guidelines and standards of the WHO.

The highest concentration of above items were recorded in water samples that collected

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from bakery factories, while the lowest levels were recorded in Juices and carbonated

beverages factories.

The average concentration of BOD5 in all tested water samples was (1.27mg/L).

The average concentration of turbidity in the all water samples was (0.28mg/L). The

average value of EC and pH in all water samples was (1319.30mg/L) and (6.96mg/l)

respectively. Finally, the average value of temperature in all water samples was

(28.26mg/l).

1

1. Introduction

The earth's surface is 75% water, but out of this only 3% is fresh water, of which only 1%

is available for people to use. Water sustains life for humans, animals and plants. People

need water for basic everyday activities like drinking and cooking, but water is also very

important for the fuelling of agriculture and industry, and plays an important role in the

nature of national economies (NWAC, 2003).

Water is a vital medium used for many different purposes in the food industry. The

quality of water used in food factories can be critical with respect to product quality/safety

in the marketplace, the reliability of production processes and the safety of personnel in the

workplace. Water used in manufacturing operations must be safe in microbiological and

toxicological terms and available at, or treated to, a specified quality. (TFST, 2005).

The water for food processing mainly includes the water for raw materials, the water for

processing and the water for cleaning, etc. The water quality directly affects the food

quality. The processing enterprises must ensure that the quality of water for food

processing is required to be inspected by hygiene and should meet the related standards of

hygiene. In order to ensure the food quality, except that the quality of water for food,

processing should meet the standards of drinking water, some components in water still

need to be strictly controlled. Therefore, a comprehensive understanding of the quality of

water for food processing has played an important role in the guarantee of food quality

(Wujie et al., 2011 ).

Food processors are ultimately responsible for the safety of their products. The design

and implementation of food safety programs, whether they are mandated or used by

industry on a voluntary basis, should address potential food contamination from water

usage, and include deviation procedures in case of adverse water events (GPFH, 2006).

There are no permanent surface water in Gaza Strip like rivers and lakes. Groundwater

is the only source for drinking water, agriculture and food factories.

The water resources in the Gaza Strip depend mainly on groundwater, which is

partially renewed from rainfall (Sami and Ibrahim 2001). The groundwater is recharged

from several sources, which include rainwater, sewage irrigation, sewage infiltration, and

seawater intrusion. Influx of salt and contaminants from anthropogenic sources

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contributing to the deterioration of water quality in the coastal aquifer in both Gaza and

Israel (Bachmat and Khalid 2000).

Currently only 10% of the water used in Gaza meets World Health Organization

(WHO) drinking water standards. Salinity of the coastal aquifer's groundwater has been

constantly increasing over time, due to seawater intrusion and the excessive

withdrawal of water, far exceeding the natural recharge (Assaf, 2001; Al-Agha and

Mortaja, 2005).

The estimated quantity of water consumed by the health care centers in the Palestinian

territory was 208.0 thousand cubic meters/month in 2008, of which 132.9 thousand cubic

meters/month in the West Bank and 75.1 thousand cubic meters/month in Gaza Strip. In

2008 it was estimated at 175.5 thousand cubic meters/month in the Palestinian territory

(PCBS, 2009).

In the Gaza Strip, there are 2520 manufacturing units registered in the Ministry of

National Economy. There are about 350 factories, and food manufacturing units in Gaza

city. There are approximately 160 factory and manufacturing food units, an imposter part

of these registered factories at the Ministry of National Economy were closed. However,

others were stopped working due to the Israeli aggression and complete siege on Gaza

Strip (MNE, 2011).

3

2. Objectives

1- Evaluating the rate of microbial contamination in water used for food

factories in Gaza city.

2 - Evaluating the chemical and physical properties of water used for

food factories in Gaza city.

3 -To investigate and demonstrate the sources of contamination in water

used for food factories.

4 - Knowledge of the validity of the water used in food processing factories.

4

3. Review of Literature

3.1 Water sources

The sole fresh water resource of Gaza (Household, agricultural, industrial, tourist) is the

coastal aquifer, which also runs beneath the coast of Israel. In contrast to the West Bank

situation, Gaza is ―downstream‖ of the portion of the aquifer that underlies Israel, with

flows coming from Israel into the Gaza portion of the aquifer. With normal flows, the

current sustainable yield of the aquifer segment underlying Gaza is estimated at about 57

Millions of cubic meters, around 15% of the total yield of the shared aquifer, which is

estimated at 360-420 Millions of cubic meters. Abstractions in recent years have been

running well above any estimate of sustainable yield. The overdraft is (Currently, 2008)

estimated at 100 Millions of cubic meters, almost 200 % (PWA and CMWU, 2009).

Groundwater is now a significant source of water for human consumption, supplying

nearly half of all drinking water in the world (WWAP, 2009), and around 43% of all water

effectively consumed in irrigation (Siebert et al., 2010). Also considerably modified local

and global water cycles, environmental conditions and ecosystems. As of 2010 the world‘s

aggregated groundwater abstraction is estimated at approximately 1,000 km3 per year –

about 67% of which is used for irrigation, 22% for domestic purposes, and 11% for

industrial purposes (IGRAC, 2010; Margat, 2008; Siebert et al., 2010).

The best quality drinking water is usually the groundwater which passes through fine

pores of soil layers that changes its composition and properties, absorbing the

compounds that are not desirable to be present in drinkable water. Groundwater is free

from organic substances, safe from the viewpoint of bacteriology; it has the correct

temperature and constant composition. The temperature of groundwater depends on the

depth of the layers it is taken from, but common ground waters have temperatures from 5

to 13 C (Chemistry and Biology, 1993).

Precipitation delivers water unevenly over the planet from one year to the next. There

can be considerable variability between arid and humid climates and wet and dry seasons.

As a result, distribution of freshwater supplies can be erratic with different countries and

regions receiving different quantities of water over any given year. The state of water

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resources is also influenced by withdrawals to meet socio-economic demands. These are in

turn influenced by population growth, economic development and dietary changes, as well

as by control measures exerted to protect settlements in flood plains and drought-prone

regions (UNWW, 2012).

Groundwater is a valuable natural resource; it occurs almost in all geological formations

beneath the earth surface not in a single widespread aquifer but in thousands of local

aquifer systems with similar characteristics (Vasanthavigar et al., 2010).

The ground water usually contains very few bacteria because of the effective natural

filtering action of the soil and several other controlling factors i.e. temperature, salt

concentration and pH (Geldreich, 1990; Kimberly et al., 2005). The lack of basic sanitation

and lack of access to safe water supplies constitute the cause of water borne diseases in

developing countries (Nanan et al., 2003; Jensen et al., 2004; Haruna et al., 2005).

3.2 Water pollution

Sanitary drinking water is an essential prerequisite for good health, because it is

necessary to sustain life as well as personal and general hygiene. World Health

Organization ranked the quality of drinking water in the twelve indicators health status of

the population of a country, which confirms its important role in protecting and improving

health (WHO, 2008). The importance of drinking water is reflected primarily in its

physiological role in the body, or in maintaining the metabolic processes and the exchange

of substances, toxicological-epidemiological importance, because through the water can

develop and transmit bacterial, viral and parasitic diseases, and toxicological role, if they

are in drinking water contaminants are present in higher concentrations than allowed

(Rajković, 2003).

The effects of drinking contaminated water results in thousands of deaths every day,

mostly in children under five years, in developing countries (WHO, 2004). The World

Health Organization in its ―Guidelines for drinking water quality‖ publication highlighted

at least seventeen different and major genuses of bacteria that may be found in tap water

which are capable of seriously affecting human health (WHO, 2006). In addition, diseases

caused through consumption of contaminated water, and poor hygiene practices are the

leading cause of death among children worldwide, after respiratory diseases (WHO, 2003).

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Each year, seven million people are estimated to become ill in the United States, and

more than 1,000 die from disease-causing microbes in drinking water (Morris and Levin,

1995). Likewise, food borne diseases cause approximately 76 million illnesses, 325,000

hospitalizations and 5,000 deaths in the United States each year.( Mead el al., 1999). This

number has increased in the past decade due in part to better reporting, globalization of

food supply, introduction of new pathogens in new areas, the development of new

virulence factors by microbes (physiological characteristics changes, immunity decreases,

and changes in agricultural practices such as the reuse of wastewater for irrigation or

manure for fertilizers affecting their pathogenicity, such as the ability to produce toxins

(Carr, 2000).

Water quality has been deteriorating, and there is an increase of seawater intrusion. Now

5-10% of the portion of the aquifer underlying Gaza is drinkable, with more than 90% of

all 150 municipal wells having salt and nitrate levels above WHO standards and so unfit

for human consumption (PWA and CMWU, 2009). Gaza cannot supply itself but must find

new or alternative sources of water, which could be derived from bulk importation,

desalination, and waste water reuse. Both a pipeline from Israel to supply the 5 Millions of

cubic meters annually agreed upon in Article 40, and a large Gaza desalination plant have

been envisaged, but to date neither has been implemented(West Bank And Gaza, 2009).

The pollution of groundwater is contributing to two main types of water contamination

in the Gaza Strip. First, and most importantly, it is causing the nitrate levels in the

groundwater to increase. In most parts of the Gaza Strip, especially around areas of

intensive sewage infiltration, the nitrate level in groundwater is far above the WHO

accepted guideline of 50 mg/liter as nitrates (Palestinian Water Authority, 2002). Second,

because the water abstracted now is high in salt, the sewage is also very saline and hence

infiltrating sewage only adds to the salinity of the aquifer (UNEP, 2009).

Many years of over-pumping have resulted in seawater intrusion and upcoming of saline

groundwater. Furthermore, human activities including agriculture and inadequate

wastewater disposal have increased groundwater contamination levels. Intensive

cultivation and efforts to boost production have led to excessive use of fertilizers,

pesticides, herbicides and soil fumigants, while collection, treatment and disposal of

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wastewater and solid waste (including hazardous materials) are inadequate in many areas

in Gaza city and Jabalia camp and Gaza strip as well (UNEP, 2003).

Contamination of ground water with nitrate is a global problem. The use of synthetic

fertilizers is a necessary practice in the production of food and fiber to meet the growing

needs of human and livestock consumption (Nolan. 2001).Population explosion, hap

hazardous rapid urbanization, industrial and technological expansion, energy utilization

and wastes generation from domestic and industrial sources have rendered many water

resources unwholesome and hazardous to man and other living resources. Water pollution

is now a significant global problem (Anetor, 2003).

Water, like food, is a potential vehicle for the direct transmission of agents of disease and

continues to cause significant outbreaks of disease in developed and developing countries.

For example, drinking water was identified as the source of a significant and fatal outbreak

of Escherichia coli O157:H7 in Canada (Kondro, 2000). Water is, therefore, also capable

of introducing contamination into food if appropriate care is not taken. In 1970, a cholera

epidemic in Jerusalem (Israel) was traced back to the consumption of salad vegetables

irrigated with raw wastewater (Shuval et al., 1986).

3.3 Water and Food Industry

The quality of water defined by the guidelines is such that it is suitable for all normal uses

in the food industry. Some processes have special water quality requirements in order to

secure the desired characteristics of the product, and the guidelines do not necessarily

guarantee that such special requirements are met. Deterioration in drinking-water quality

may have severe impacts on food processing facilities and potentially upon public health.

The consequences of a failure to use water of potable quality will depend on the use of the

water and the subsequent processing of potentially contaminated materials. Variations in

water quality that may be tolerated occasionally in drinking-water supply may be

unacceptable for some uses in the food industry. These variations may result in a

significant financial impact on food production (WHO, 2008).

The water for food processing should meet the sanitation standards of national living

drinking water, which can‘t contain the pathogenic microorganisms. The chemicals in

water mustn‘t be harmful to human health. The radioactive materials in water mustn‘t be

8

harmful to human health. The sensory properties are good and it must be conducted the

disinfection treatment. The pathogenic bacteria should not be contained and the total

content of bacteria should be low. The total number of bacteria should not be more than

100 in 1ml water and the coliform shouldn‘t be detected. The water for food processing

mainly refers to the natural water and the natural water includes the surface water and the

underground water. The surface water flows through the ground, containing some

impurities such as the clay, the sand, the weeds, the humus, the calcium magnesium salts,

other salts and bacteria. In order to make the upscale food, the first thing is to have the fine

water.Where the water treatment may enable the common water to achieve the

requirements of water for food processing (Wujie et al., 2011).

Water is essential for life. The world‘s population withdraws approximately 4,000 cubic

kilometers of fresh water annually. Of this amount, 69% is used for agriculture, 23% by

industry and 8% for domestic purposes (OECD, 2001). The food water industry uses water

for beer (0.03%), soft drinks (0.01%) and bottled water (0.004%). Water is also essential

for the Food and drinking industry. It is required for most manufacturing processes and is

used by consumers in preparation of food. It is a key ingredient for the beverage and

bottled water sectors. The food water industry uses water in a variety of ways in its

manufacturing processes, including washing, boiling, and extraction and for reconstitution

of dried raw materials. Water consumption varies greatly between sectors.

Manufacturing is an important part of the supply chain. In the context of the food

Water industry, manufacturing can be defined as the variety of processes by which raw

materials are transformed into safe, convenient, high quality food and drink products (EU

and United Nations Environment Program, 2002).

The majority of factories did not have acceptable program for sampling of consumed

water and chemical and microbial analyzing and only water of boilers was controlled for

hardness and alkalinity levels. Unfortunately occurrence of heavy metals and pesticides in

water was not being investigated. Most of authorities had not adequate awareness and

specialty about water pollution and water quality control at 45% of studied industries of

East Azerbaijan (Mosaferi, 2007).

Major water uses in the food manufacturing industry may include:

washing/rinsing/hosing, cooling and refrigeration systems, boilers and heating and as an

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ingredient in the product. Some common water saving options for the food manufacturing

industry are summarized in the following table, though note, other more specific

opportunities may still exist at your site for you to investigate. Savings and cost estimates

are indicative only. Specific estimates based on your operations should be made before

implementing an option (Water saving factsheet, 2008).

Pathogens discharged into water sources do not normally multiply (with a few

exceptions), but bacterial growth in food products can be an important factor in food-borne

disease (ILSI 2008). Drinking water is often consumed without further processing, but

water that enters the food cycle may be processed further (e.g. canning, cooking), which

will reduce risk from getting food-borne disease (ILSI 2008).

Cryptosporidium spp. is distributed worldwide and has low susceptibility to the

treatment processes used for most bacteria. In particular, they are extremely resistant to

chlorination and some UV treatments. The most suitable technologies that might be applied

in treating water in the food industry are sand or cartridge filtration (membrane filtration, 1

micron) and heat (70°C for 2 min) (Dawson, 2000).

Pollution causes the water to become unsuitable for various uses and also difficult and

more expensive to treat to acceptable quality for use. The nature of emissions and effluents

from industries are varied and industry specific (Phiri et al., 2005).

Although not a major user of water itself, the availability of water for growing and

processing food is a critical issue for the industry. Water has already become scarce in

some of the main food and fiber producing regions of Australia. The food processing sector

uses more water than any other manufacturing sector, consuming 33 per cent of the

combined 3 per cent of total water use consumed by all manufacturing industries (DAFF

and SCA, 2008). However, this is significantly lower than the 66 per cent consumed in

agriculture and the 11 per cent consumed by households (DAFF and SCA, 2008).

Most common uses for water in the food processing industry are washing/cleaning food

and equipment, pasteurization, cooking, and sterilization. It can also be used as an additive

in canned fruits and vegetables (David 1990). How water is used among various food

processing sectors can differ substantially. For sugar production, roughly half of the intake

water is used for cooling and 20% or less for actual processing. Beverage manufacturers

also use large quantities of water for cooling, although they require slightly more process

10

water than cooling water. On the contrary, for meat processing and fruit preservation,

about 60% of the intake water is used as process water (David, 1990). Food processing

techniques have not changed much over the last several decades. Despite this technological

inertia, the food processing industry has shown a trend of decreasing water use since the

mid-1950s. Water use peaked in 1968 at 2,100 Mgal/day but dropped to 1,500 Mgal/day by

1983. Over the same time period, per unit water use declined from 13.1 gallons to 8.6

gallons (David 1990). Most of the decrease in water use has been a direct result of effluent

regulation compliance. The food processing industry has maintained similar recycling

ratios over the past several decades while most other industries have doubled their

respective rates (GLC, 1996).

Diminishing quality water supplies, increasing water purchase costs, and strict

environmental the of effluent standards are forcing industries to target increased water-

efficiency and reuse. These factors, in combination with an estimated fivefold increase in

worldwide manufacturing water use by 2030, will contribute to growing industrial water-

related expenses in the near future (Royal 2000).

3.4 Microbiological quality of water

Microorganisms are widely distributed in nature, and their abundance and diversity may

be used as an indicator for the suitability of water (Okpokwasili and Akujobi, 1996).

Infectious diseases caused by pathogenic bacteria, viruses and parasites (e.g. protozoa

and helminthes) are the most common and widespread health risk associated with drinking-

water. The public health burden is determined by the severity and incidence of the illnesses

associated with pathogens, their infectivity and the population exposed. In vulnerable

subpopulations, disease outcome may be more severe (WHO, 2011).

The greatest risk to public health from microbes in water is associated with

consumption of drinking-water that is contaminated with human and animal excreta;

although other sources and routes of exposure may also be signify cant. This chapter

focuses on organisms for which there is evidence, from outbreak studies or from

prospective studies in non-outbreak situations, of diseases being caused by ingestion of

drinking-water, inhalation of water droplets or dermal contact with drinking-water and

their prevention and control. For the purpose of the Guidelines, these routes are considered

waterborne (WHO, 2011).

11

Exposure to bacteria in water occurs primarily by drinking contaminated water, or

accidentally swallowing it when bathing or brushing your teeth. Exposure can also happen

from eating food off a plate that is still wet from recently washing it, ice, and washed fruits

and vegetables that are eaten raw (EPA, 2006).

3.4.1 Total Plate Count (TPC)

Heterotrophic bacteria are a broad class of organisms that use organic nutrients for

growth. The group includes harmless environmental bacteria, virtually all pathogenic

bacteria, and opportunistic pathogens (bacteria that cause a disease in a comprised host but

that are unlikely to cause a disease in an uncompromised host). Opportunistic pathogens

include strains of Pseudomonas aeruginosa, Acinetobacter spp., Aeromonas spp.,

Klebsiella pneumoniae, and others. However, these opportunistic pathogens arenot

detected with the media used for heterotrophic plate determination (WHO, 2002).The

number of heterotrophic bacteria recovered from a water sample will depend on the

procedures and isolation medium used, and on the interaction among the developing

colonies (APHA, 1995).

Heterotrophic bacteria obtain their carbon and energy from organic compounds. They

are commonly found in natural waters and are widespread in soils. These bacteria are

present in groundwater in relatively low numbers but can rapidly multiply, especially at

elevated summer temperatures. (Gleeson and Gray, 1997). The heterotrophic plate count

heterotrophic plate represents the aerobic component of this microflora and although it has

little sanitary value, it is useful as an indicator of general quality of water supply and to

some extent of the standard of treatment or the microbiological condition of the

distribution system (ARMCANZ/NHMRC, 1996).

The heterotrophic plate count (HPC) test can be used for monitoring the overall

bacteriological quality of drinking water. heterotrophic plate results are not an indicator of

water safety and, as such, should not be used as an indicator of adverse human health

effects. heterotrophic plate results give an indication of overall water quality in public,

semi-public1, and private systems. In groundwater not under the direct influence of surface

water, HPC levels are generally low and stable over time. In surface water and

groundwater under the direct influence of surface water, HPC should be minimized

through effective treatment and disinfection and remain constant over time. In both

12

disinfected and non-disinfected systems, sudden increases in heterotrophic plate above

normal baseline levels can indicate a change in raw water quality or a problem such as

bacterial re-growth in the distribution system or plumbing. Steady increases in

heterotrophic plate over time indicate a gradual decline in raw water quality or in the

condition of the system. Increases in heterotrophic plate in disinfected systems can

indicate a problem with drinking water treatment. If an increase in heterotrophic plate

values does occur, the system should be inspected and the cause determined. Boil water

advisories 2 should not be issued based solely on heterotrophic plate results. Corrective

actions should be taken, if deemed necessary, after discussions with the responsible

authority (Health Canada, 2006).

Unlike other indicators, such as Escherichia coli or total coliforms, low concentrations

of HPC organisms will still be present after drinking water treatment. In general, water

utilities can achieve heterotrophic bacteria concentrations of 10 colony-forming units

(CFU) per milliliter or less in finished water (Fox and Reasoner, 1999). Within a

distribution system, increases in the density of HPC bacteria are usually the result of

bacterial re-growth. The density reached can be influenced by the bacterial quality of the

finished water entering the system, temperature, residence time (i.e., stagnation), presence

or absence of a disinfectant residual, construction materials, surface-to-volume ratio, flow

conditions, the availability of nutrients for growth (Prévost et al., 1997; Payment, 1999).

The range of heterotrophic bacteria usually measured in drinking water is <0.2 CFU/ml

to 10,000 CFU/ml or higher (Allen et al., 2002). No validated epidemiological evidence

links consumption of high levels of heterotrophic bacteria in drinking water to increased

health risks (Leclerc, 2002).

There has been a dramatic increase in infections caused by microorganisms, including

certain heterotrophic microorganisms that are found in water (Huang et al. 2002). We have

shown that on average 60 – 90 % of the microorganisms in water are biochemically active

and living; this is a markedly greater proportion than was determined using the

Heterotrophic Plate Counts method (Berney, 2007; Berney, 2008). Melad, (2002) in a

study of groundwater wells in the Gaza Strip. Found heterotrophic plate in wells and found

the highest number of colonies was 750 CFU / ml

13

In a study that performed to undertake a preliminary assessment of the groundwater

quality of the West Thrace region, forty groundwater samples collected from Edirne and

Canakkale were assessed for their suitability for human consumption. Eight water samples

(20%) had heterotrophic plate counts exceeding the European Union and Turkish Water

Directive limit of 20 cfu/ml in drinking water and the maximum number of bacteria as 44

cfu/ml. (Aydin, 2006).

Also in study of El-Salam canal which is a potential project reusing the Nile Delta

drainage water for Sinai desert agriculture, the authors assist the microbial and chemical

water quality. Representative water samples were manually collected during the seasons

winter, spring, summer, and autumn of two successive years (2003/2004 and 2004/2005).

They found total count bacteria at 37 °C between (32–39000 cfu/1 ml) (Othman et al.,

2012).

3.4.2 Total coliform

Total coliforms represent only about 1% of the total population of bacteria in human

feces in concentrations of about 1000000000 bacteria per gram (Brenner et al., 1982).

Total coliforms include species that may inhabit the intestines of warm-blooded animals or

occur naturally in soil, vegetation, and water. They are usually found in fecally-polluted

water and are often associated with disease outbreaks. Although they are not usually

pathogenic themselves, their presence in drinking water indicates the possible presence of

pathogens. E. coli, one species of the coliform group, is always found in feces and is,

therefore, a more direct indicator of fecal contamination and the possible presence of

enteric pathogens. In addition, some strains of E. coli are pathogenic (Federal , 1985).

The total coliform group belongs to the family enterobacteriaceae and includes the

aerobic and facultative anaerobic, gram-negative,non-spore-forming, rod-shaped bacteria

that ferment lactose with gas production within 48 hours at 35 C (APHA, 1998).The group

consists of several genera of the family Enterobacteriaceae, including species of

Enterobacter, Klebsiella, Citrobacter, and E. coli. Total coliforms may be of fecal origin,

but also survive and grow in the environment (Flint, 1987; Pommepuy et al., 1992). Total

coliforms have been used as an indicator of drinking water quality since the early 1900s.

The rationale for using total coliforms in this manner is based on their presence in large

14

numbers in the gut of humans and other warm blooded animals, allowing their detection

even after extensive dilution (Stevens et al., 2001).

Most coliforms are present in large numbers among intestinal flora of humans and other

warm-blooded animals, and are thus found in fecal wastes (Dorothy, 1998). As a

consequence, coliforms, detected in higher concentrations than pathogenic bacteria, are

used as an index of the potential presence of entero-pathogens in water environments

(Rompré, 2002). Human fecal material is generally considered to be greater risk to human

health as it is more likely to contain human enteric pathogens (Scott et al., 2003).Total

coliforms be removed as an indicator of fecal contamination in the Australian Drinking

Water Guidelines (NHMRC-ARMCANZ, 1996).

The presence of coliform bacteria in potable water indicates unsuitable sanitation

practices. Such occurrences may be a result of poor water treatment, plant design

problems, improper operating procedures, inadequate hygienic practices in plant operation,

or after growths in the distribution system (Geldteich, 1996).

Although coliform organisms may not always be directly related to the presence of fecal

contamination or pathogens in drinking water, the coliform test is still useful for

monitoring the microbial quality of drinking water (WHO, 1997). Confirmed that only E.

coli is considered as a specific and reliable indicator of fecal pollution of water; since the

more general test for Fecal Coliforms also detects thermotolerant non-fecal coliform

bacteria.(Neimi et al., 2001).

The effects of sunlight did show some correlation with the total coliform and E. coli

concentrations; although not as much as in other experiments which support the theory that

sunlight is one of the most powerful factors in bacterial inactivation (Whitman 2004).

Total and fecal coliforms were detected in Nile water at Greater Cairo in 100%of the

tested samples reaching 104 and 103 cfu/100 ml respectively. (Shash et al., 2010). Melad,

(2002) found total coliform were isolated from 17 wells in summer season and the count

rang between (2-130 cfu/100ml) in his study that was aimed to evaluation of ground water

pollution with waste water microorganisms in Beth Lahia, Gaza Strip.

In a study on Microbiological Assessment of Marketed Drinking Water in Gaza City,

Palestine, Tartory (2009) found that the most prevalent type of bacterial contamination was

15

total coliforms. Twelve samples (60%) were contaminated with total coliforms range from

(1-50 cfu/100ml) of the desalination plant. Also six samples(50%) out of 12 samples were

contaminated with total coliforms range between (1-20 cfu/100ml) in the water distribution

car. However, out of 1056 water samples from rain-fed cisterns tested in Gaza Strip for

total Coliform (TC) and fecal Coliform (FC), 8.6% and 3.9% of the samples exceeded the

WHO limits for total coliform and fecal Coliform, respectively.

3.4.3 Fecal coliforms

Fecal coliforms are thermotolerant bacteria that include all coliforms that can ferment

lactose at 44.5 °C. The fecal coliform group comprises bacteria such as Escherichia coli or

Klebsiella pneumonia. (APHA, 1998). A more logical approach is the detection of

organisms normally present in the feces of humans and other warm-blooded animals as

indicators of fecal pollution as well as water treatment and disinfection efficacy. The

indicators should respond to natural environmental condition in water treatment processes.

The indicator should be easy to isolate, identify and enumerate from the aquatic

environment (WHO, 2004 and APHA, 2005).

Coliform bacteria are a general name for a variety of bacteria, including fecal coliform

and E. coli bacteria. Bacteria generally enter the drinking water system through cracks in

lines or wells. Coliform bacteria does not necessarily mean that there is fecal coliform or E.

coli bacteria, but follow-up testing is required to verify whether there is a problem.

Fecal coliform and E. coli are more dangerous bacteria that come from animal and

human waste, generally from poorly maintained or constructed septic systems, cracks in

sewer lines, or animal waste near a water source.(EPA, 2006). Fecal indicator bacteria like

total coliforms, fecal coliforms (thermotolerant coliforms), E. coli and intestinal

enterococci (fecal streptococci) are excreted by humans and warm-blooded animals, pass

sewage treatment plants to a great amount and survive for a certain time in the aquatic

environment (Kavka & Poetsch 2002). E. coli and fecal coliforms are the best indicators

for the assessment of recent fecal pollution, mainly caused by raw and treated sewage and

diffuse impacts e. g. from farm land and pasture. E. coli and fecal coliforms indicate also

the potential presence of pathogenic bacteria, viruses and parasites (Kavka & Poetsch

2002). Detailed knowledge of fecal pollution in aquatic environments is crucial for

16

watershed management activities in order to maintain safe waters for recreational and

economic purposes (Farnleitner et al. 2001).

E. coli bacteria are found within the fecal coliform group in smaller concentrations than

fecal coliform bacteria. E. coli were chosen as the secondary indicator of bacterial

contamination because they are a specific indicator of fecal pollution. E. coli inhabit the

gastrointestinal tract of warm-blooded animals and are an indicator of the presence of

intestinal pathogens that cause human diseases (Francy and others, 1993). Fecal indicator

bacteria in sediment have shown that sediment contains greater concentrations of fecal

coliforms than the overlying water. (Craig, 2004).

Niewolak, (1998) by only analyzing water, the amount of bacterial and pathogenic

concentration may be underestimated. Research has shown that sediment provides a more

suitable environment than water by offering protection from predators and insulation and

by providing higher concentrations of nutrients and organic carbon for bacteria. (Lee,

2006; Craig, 2002).

Higher concentrations of bacteria are believed to exist in sediment, because it provides a

more suitable environment for bacteria than water by providing larger amounts of nutrients

and carbon on particles, decreasing sunlight inactivation, and providing protection against

predators such as flagellates which are unable to graze on bacteria when they are attached

to sediment because of the particle‘s large size (Friesa 2008).

Yassin el al., (2006) found in Gaza strip that the major finding showed that the

contamination level of total and fecal coliform exceeded that of the World Health

Organization WHO limit for water wells and networks . Furthermore, the contamination

percentages in networks were higher than that in wells.

Giannoulis el al., (2000) in their study in Northwestern Greece found that the 36.8% of

the source water samples were found in conformity with WHO guidelines, 42.1 of low risk,

and 21.1% of intermediate risk while there no samples of high or very high risk. The color-

code classification for FC contamination was found as 36.8% A (blue, no risk), 42.1% B

(green low risk) and 21.1% C (yellow, intermediate risk).

17

Also, Bharath el al., (2002) found that of the 344 water samples tested, 262 (76.2%) and

82 (23.8%) were domestic and imported brands, respectively. Eighteen (5.2%) of the 344

samles contained coliforms with a mean count of 6.38 + - 0.88 coliforms per 100 ml, while

5 (1.5%) samples contained E. coli The prevalence of total coliform in domestic brands of

bottled water was (6.9%) as compared with (0.0%) detected in imported brands. Tartory,

(2009) found that six samples 30% were contaminated with fecal coliforms range between

(1-30 cfu/100ml) of the desalination plant. More over five sample (41.7%) out of 12

samples were contaminated with fecal coliforms range between (1-20 cfu /100ml) in the

water distribution car. In additition 4 sample (16%) out of 25 samples were contaminated

with fecal coliforms range between (1-10 cfu/100ml) (Tartory, 2009).

3.4.4 Fecal streptococci

The enterococci were included in the functional group of bacteria known as ―fecal

streptococci‖ and now largely belong in the genus Enterococcus which was formed by the

splitting of Streptococcus faecalis and Streptococcus faecium, along with less important

streptococci, from the genus Streptococcus (Schleifer and Klipper-Balz, 1984). There are

warm- now 19 species that are included as enterococci (Topley, 1997). Fecal streptococci

(FS) are consistently present in the feces of all warm-blooded animals and in the

environment associated with animal discharges (APHA, 1975). Which group comprises

Streptococcus faecalis, S. bovis, S. equinus and S. avium. Since they commonly inhabit the

intestinal tract of humans and blooded animals, they are used to detect fecal contamination

in water. Members of this group survive longer than other bacterial indicators but do not

reproduce in the environment. A subgroup of the fecal streptococci group, the enterococci

(E. faecalis and E. faecium, E. durans, E. gallinarum and E. avium) have the ability to

grow at 6.5% NaCl, high pH (pH=9.6) and high temperature (45C). This group has been

suggested as useful for indicating the presence of viruses, particularly in biosolids and

marine environment.(APHA, 1998).

A taxonomically heterogeneous cocci group associated with the gastrointestinal tract of

humans and animals is traditionally named ‗fecal streptococci‘. Recently, this group of

bacteria has been the subject of a taxonomical revision, essentially on the basis of cultural,

biochemical, serological and mainly genetic characteristics (Hardie and Whiley 1994;

Devriese et al. 1996; Leclerc et al. 1996).

18

None of the three investigated which points meet the microbiological standards for safe

drinking water. Coliform bacteria, Escherichia coli, Fecal Streptococci and Pseudomonas

aeruginosa exceeded severe the standards of the World Health Organisation and the

European Union on the quality of drinking water.( Ranson, 2012). Faecal streptococci as

indicators of pollution showed that the majority of enterococci (84%) isolated from

avariety of polluted water sources were ―true fecal species‖ (Pinto et al., 1999). Fecal

streptococci were isolated from 6 wells during summer season, where the mean count

recorded was (6 cfu/ml) in a study that aimed to evaluate the ground water pollution with

waste water microorganisms in Beth Lahia, Gaza Strip (Melad, 2002). Al- Khatib, (2009)

found of that the 4.8% were contaminated with Fecal streptococcus in Groundwater

(network-distributed) in his study on microbiological quality of desalinated water,

groundwater and rain-fed cisterns in the Gaza strip, Palestine.

3.4.5 Pseudomonas aeruginosa

Pseudomonas aeruginosa is a non-fermentative, aerobic, Gram-negative rod that

normally lives in moist environments. It has minimal nutrition requirements while being

able to use several organic compounds for growth. This metabolic versatility contributes to

a broad ecological adaptability and distribution, and reflects a genome of larger size and

complexity compared with that of many other bacterial species (Goldberg, 2000; Stover,

2000).

Pseudomonas aeruginosa is bacterium readily isolated from water and soil

environments. It is an opportunistic human pathogen frequently causing septicemia in burn

patients, chronic infections in individuals with cystic fibrosis, and urinary tract infections

in catheterized patients ( Kolter, 2010; Lyczak, 2000 ).

Pseudomonas aeruginosa can be isolated from a wide range of inanimate, animal, and

human environments, and can be found in a variety of geographic settings throughout the

world. Pseudomonas aeruginosa is widely distributed in moist environments, including

soil, water and sewage. (NIH, 1994). It can be found on and is occasionally pathogenic for

plants and vegetables. Strains isolated from leaf spot tobacco, identical with or similar to

Pseudomonas aeruginosa (Krieg, 1994). Pseudomonas aeruginosa has been advocated as a

mean of monitoring the hygienic quality of drinking water. It is used to assess the quality

of bottled water as its presence (Warburton, 1998).

19

Isolation of pathogenic and potentially pathogenic microorganisms such as Salmonella

sp., Staphylococcus sp., Aeromonas sp., Streptococcus sp. and Pseudomonas aeruginosa is

of highly importance and indicated that tap water is unsafe. The isolation of Pseudomonas

aeruginosa and Areomonas sp. indicated water quality deterioration and that

immunocompromise people are in risk and suggested that there may be connection

between the high cases of reported diarrhea and the isolated organisms. (Yagoub &

Ahmed, 2010)

Pseudomonas sp. are very common in water systems due to their ease of colonization

and they form thick biofilms which consequently has an effect on turbidity, taste and odour

of drinking water (WHO, 2006; Aquachem, 2009).

Pseudomonas sp. is opportunistic pathogens that have been implicated in water- and

food-borne diseases (Warburton, 1992; Warburton, 1993). Pseudomonas aeruginosa is the

most common pathogen responsible for both acute respiratory infections in ventilated or

immunocompromised patients and chronic respiratory infections in cystic fibrosis patients

(Chastre, 2000; Chastre, 2002).

Pseudomonas or Aeromonas may be a threat to human health due to their ability to

multiply in drinking waters (Havelaar, 1990). Pyogenic infection of injuries, meningitis,

urinary system, respiratory system, inflammation of the middle ear and eyes are typical

diseases caused by contaminated water where Pseudomonas aeruginosa are found (Rusin,

1997; Hernandez1997). Pseudomonas aeruginosa was found in only one sample of the tap

water of drinking water from dispensers in Italy (Liguori, 2010). Pseudomonas aeruginosa

has been detected in 24.1% of the water samples of drinking water from dispenser

(Baumgartner, 2006). In another study revealed that 3.6% of theexamined bottled water

samples were contaminated by P. aeruginosa representing (Abd El-Salam, 2008).

3.4.6 Mold and yeast

Fungi are ubiquitous in nature (Goncalves et al., 2006). They are present in and have

been recovered from a wide range of aquatic habitats including lakes, streams, distribution

systems, drinking water and also on the surface of drinking water reservoirs and

distribution pipes (Bitton, 2005). Fungi may cause some problems in drinking water. They

are involved in the production of taste and odors in water (Bitton, 2005; Goncalves et al.,

2006).

20

There are over 70,000 species of fungi. Fewer than 300 have been implicated in human

diseases, and fewer than a dozen cause about 90% of all fungus infections. They are

involved in different forms of diseases, including allergies to fungal antigens, production

of toxins, or direct invasion of hosts (McGinnis, 1996).

In addition, there is an increasingly number of severe fungal diseases by commensal or

fully saprophytic species in immuneocompromised hosts. These diseases are frequently

associated with abrogated host immunity as a result of viral infections, mainly the human

immunodeficiency virus, hematological and hormonal disorders, organ transplants,

antibiotic usage, and more intensive and agressive medicals practices (Van Burik and

Magee, 2001).

Fungal infections are difficult to treat since the agents are eukaryotes, as human cells.

Despite their wide occurrence, little attention has been given to their presence and

significance in aquatic environments (Souza et al., 2003). Drinking water distribution

systems are colonized by saprophytic heterotrophic microorganisms (such as bacteria,

fungi, yeast) that grow on biodegradable organic matter (Servais et al., 1992).

Growth of fungi in water distribution systems changes not only the water taste and odor

for the worse but also may cause technological and operational difficulties. Fungi also

produce secondary metabolites, some of which are toxins. Some of the fungal species and

the metabolites they produce are human pathogens or allergens (Paterson and Lima, 2005).

Fungal infections are becoming of increasing concern due to the increasing numbers of

immunocompromised patients and those with other risk-factors (Annaisie et al., 2002). The

presence of fungi in water distribution systems may cause other indirect challenges for

water companies. For instance, the secondary metabolites produced by some species can

alter the taste and smell of water, generating complaints from end-users. Organic acids

produced by fungal metabolic processes can increase the rate of corrosion of water pipes,

especially when it is difficult to maintain sufficient concentrations of water disinfectants,

such as chlorine, throughout the distribution system (Grabinska-Loniewska et al., 2007).

There is strong evidence of a correlation between fungal exposure and severity of

asthma ( Hogaboam et al., 2005). Much of the evidence is related to associations between

frequency of asthma attacks and numbers of airborne spores. Such spores may have been

21

aerosolised from a water source. For example, inhabiting damp and mouldy buildings has

also been linked to a worsening of asthma symptoms (Denning et al., 2006).

At the consumer side, installations such as cisterns, heating tanks, taps, and shower

heads can yield large numbers of fungi (in terms of Colony Forming Units. This releases

fungi and other microorganisms into the water transported through the network to end

users ( Hageskal et al., 2007).

Studies that included analyses of both groundwater-derived and surface water-derived

drinking water found that isolation of fungi was more likely from surface water-derived

drinking water (Hageskal et al., 2006 and Hageskal et al., 2007).The source of the raw

water affects the total number of CFU found due to biotic and abiotic differences between

surface and groundwater. Surface waters tend to contain larger amounts of organic matter,

which both provide nutrients and a substrate for fungal growth. Differences in acidity and

calcium content may also account for some of the variation – studies in Norway and

Portugal found that surface water is slightly more acidic with lower calcium content

(Hageskal et al., 2007 and Pereira et al., 2009). Furthermore, groundwater has lower levels

of turbidity and total organic carbon compared to spring and surface water (Pereira et al.,

2009).

The overall influence of nutrient concentration on fungal establishment in water

distribution systems is likely to be different from that for bacteria, given that fungi are able

to grow in environments that appear to be nutrient free (Kinsey et al., 2003). Competition

for nutrients between bacteria and fungi in culture is thought to occur (Gonçalves et al.,

2006).

Understanding the interactions between bacteria and fungi is important in order to

determine if bacterial content, a commonly measured parameter of drinking water, can be

used as an indicator of fungal content (Gonçalves et al., 2006). Fungal colonisation of food

is also thought to be an important source from which patients‘ respiratory or digestive

systems are colonised. Contaminated water used in food production processes may be a

route by which fungi are introduced into food (Paterson et al., 2009 and Hageskal et al.,

2006). Preventative measures include sterilising or disinfecting foods where possible, and

banning some particularly contaminated foods such as soft cheeses for high-risk patients

(Bouakline et al., 2000).

22

The Actinomycetes have been found to be associated with the musty and earthy odours

in water (Zaitlina and Watson, 2006). Musty/earthy odours are the second problems

encountered by the water utilities besides chlorine (Suffett et al. 1996). The filamentous

fungi and the actinomycetes in the water can produce volatile compounds like geosmin

(Paterson et al. 2007). Many of the taste and odor compounds produced by bacteria are also

found to be produced by filamentous fungi and significantly affect the effectiveness of

chemicals used for disinfecting drinking water (Paterson et al. 2009).

Fungi in drinking water are a significant source of fungal infections in vulnerable

patients are contradictory, leading to debate about whether further information is required

before action taken (Hageskal et al., 2009). Inaddition to that many filamentous fungi

appear in various surface water and underground water, but during the last years they have

been found in various drinking water as well (Arvanitidou et al., 2000; Warris et al., 2001;

Gottlich et al., 2002; Cabral and Fernandez, 2002 and Canovas et al., 2003). Fungi

growing in drinking water resources cause modification in taste, odor and composition of

water pools (Nazim et al., 2008; Ahmed et al., 2010). Many aquatic fungi including

important human pathogens are able to grow in water and land (Mullenborn et al., 2008).

Impact of water fungi is not restricted to human health but also to the oxidation of water

supply pipes ( Emde, 1992). as well as may produce unwanted flavors and odors in water

(Bays, 1970).

Filamentous fungi were recovered from 62% of all samples. In ground water 42.3% of

the samples were positive for mould growth, while surface waters yielded 69.7% positive

samples Oslo, Norway Hageskal, (2006). Filamentous fungi in drinking water has been

reported in several studies worldwide, although the frequencies of mould recovery are most

variable, ranging from 82.5% to 17.6% ( Frankova´ and Horecka 1995; Arvanitidou et al.

1999).

Only detected 7.5% fungal positive samples from ground water in Germany. (Gottlich et

al. 2002) Identified mould colonies in all of the surface water samples analysed in

Slovakia, while the ground water revealed 40% positive samples (Frankova´ .1993). the

occurrence of filamentous fungi in water sampled from taps, showers and main pipe in a

paediatric bone marrow transplantation unit at Rikshospitalet University Hospital, Norway

( Warris et al. 2001 ). The results revealed 94% mould positive samples from inside of the

hospital, at the intake reservoir fungi were recovered from all samples (Warris et al. 2002).

23

Hedayati al el., (2011) tested the of tap water as a potential reservoir of fungi in

hospitals in Sari city Iran , Out of 240 plates or sample, 77.5% were positive for fungal

growth. Twelve different genera were identified. Aspergillus (29.7%), Cladosporium

(26.7%) and Penicillium (23.9%) were the most common isolated. Among Aspergillus

species, A. flavus had the highest frequency. Highest colony counts were found in autumn.

Aspergillus predominated in autumn, Cladosporium in winter and spring and Penicillium

in summer.

Tartory, (2009).assessed the microbiological quality of drink water marketed in Gaza

found of that five samples (25%) were contaminated with mold ranging between (1-10

cfu/100ml), and 4 samples (20%) were contaminated with Yeast ranging between (1-50

cfu/100ml), Also 14 sample 56% out of 25 samples were contaminated with mold range

between (1-20 cfu/100ml) and 4 sample 16% out of 25 samples were contaminated with

yeast range between (1-20 cfu/100ml) in the water Vending Machine.

24

3.5 Chemical and physical properties of water

Water is a chemical compound which molecules contain two hydrogen atoms and one

oxygen atom. In natural waters there are many other components that make up the

complete composition of water. The cations with biggest concentration are calcium,

magnesium, sodium and potassium, and the more important anions are hydrogen

carbonate, sulphate, chloride and nitrate. These components create the chemical

composition of fresh waters and must be considered assessing water quality (Chemistry

and Biology, 1993).

Drinking-water is usually not the only source of human exposure to the chemicals for

which guideline values have been derived. In many cases, the exposure to or intake of

chemical contaminants from drinking-water is much lower than that from other sources,

such as food, air and consumer products (WHO, 2011)

3.5.1 Total dissolved solids (TDS)

Total dissolved solids (TDS) is the term used to describe the inorganic salts and small

amounts of organic matter present in solution in water. The principal constituents are

usually calcium, magnesium, sodium, and potassium cations and carbonate,

hydrogencarbonate, chloride, sulfate, and nitrate anions (GDWQ, 1996). The corrosive

nature of demineralised water and potential health risks related to the distribution and

consumption of low TDS water has led to recommendations of the minimum and optimum

mineral content in drinking water and then, in some countries, to the establishment of

obligatory values in the respective legislative or technical regulations for drinking water

quality. Organoleptic characteristics and thirst-quenching capacity were also considered in

the recommendations.(WHO 1980).

TDS and Cl- used indicator of groundwater salinity contamination in Gaza Strip and

nitrate was used as an indicator of anthropogenic contamination of groundwater. High

levels of Cl- and TDS in the groundwater cause high salinity in the water supply (Al-Jamal

and Al-Yaqubi, 2002).

The presence of dissolved solids in water may affect its taste (Bruvold and Ongerth,

1969). The palatability of drinking water has been rated by panels of tasters in relation to

its TDS level as follows: excellent, less than 300 mg/liter; good, between 300 and 600

25

mg/liter; fair, between 600 and 900 mg/liter; poor, between 900 and 1200 mg/liter; and

unacceptable, greater than 1200 mg/liter (Bruvold and Ongerth,1969). Water with

extremely low concentrations of TDS may also be unacceptable because of its flat, insipid

taste (GDWQ, 1996). The palatability of water with a TDS level less than 600 mg/l is

generally considered to be good whereas water with TDS greater than 1200 mg/l becomes

increasingly unpalatable (Mc Cutheon et al., 1983).

Regular intake of low-mineral content water could be associated with the progressive

evolution of the changes , possibly without manifestation of symptoms or causal symptoms

over the years. Nevertheless, severe acute damage, such as hyponatremic shock or

delirium, may occur following intense physical efforts and ingestion of several liters of

low-mineral water (Basnyat et al. 2000).

Rain will have a TDS of about five ppm. Once the rainwater soaks into the ground, it

begins to dissolve some hardness minerals and these minerals (calcium and magnesium)

end up in underground water aquifers. Illustrates the classifications of various degrees of

hard and soft water (Harrison, 2001). Sowed that the raw water conductivity and the

targeted residual TDS in treated water were the key process variables. Power consumption

increased linearly as difference between these two values increased (Broseus et al., 2009).

In study for the evaluation of the surface water quality from 29 sampling points along

the Kor River in Fars province South West Iran, it was found that the TDS was between

(4566–12632 mg/l) in all samples analyzed. (Sheykhi and Moore , 2012). Also Sulieman el

al., (2010) found that TDS of Siebel water was in the range of (115-137 mg/l) which was

in agreement with those of the Sudanese and International standards.

The Saudi Arabian Specification and Measurements Agency states that the optimum

value for the total dissolved solids TDS is 500 mg/l, and the maximum allowable value is

1500 mg/l. Using this standard, all the samples of the location around Makah were within

the maximum allowable value of the total dissolved solids (Ghulman el al., 2008). The

average concentration of TDS for drinking water wells in Gaza Governorates ranges was

2709 mg/l (Abu Mayla and Abu- Amr, 2010).

26

3.5.2 Chloride

The taste threshold of the chloride anion in water is dependent on the associated cation.

Taste thresholds for sodium chloride and calcium chloride in water are in the range 200–

300 mg/l (Zoeteman, 1980). The taste of coffee is affected if it is made with water

containing a chloride concentration of 400 mg/l as sodium chloride or 530 mg/l as calcium

chloride (Lockhart, 1955).

Evidence of a general increase in chloride concentrations in groundwater and drinking-

water has been found, but exceptions have also been reported (Gelb, 1981). In the USA,

aquifers prone to seawater intrusion have been found to contain chloride at concentrations

ranging from 5 to 460 mg/l (Phelan, 1987), whereas contaminated wells in the Philippines

have been reported to have an average chloride concentration of 141 mg/liter (Morales,

1987).Chloride levels in unpolluted waters are often below 10 mg/liter and sometimes

below 1mg/liter (DNHW, 1978).

Thanks to chlorine disinfection, the waterborne plagues of the past -- such as cholera and

typhoid fever -- are no longer a widespread problem in developed nations. Outbreaks of

waterborne disease, however, still occur and are primarily due to the use of untreated or

inadequately treated drinking water supplies or recontamination in the distribution system.

Although treatment methods of filtration and disinfection are effective at eliminating most

waterborne pathogens, these systems are an inexact science, evidenced by the frequent

prevalence of viral and protozoan pathogens in finished waters (Le Chevallier, 1991).

Easa and Abou-Rayan (2010) studied chlorides concentrations of groundwater at various

investigation years in Egypt. Thy stated that the increase of chlorides in groundwater is

getting along with the presence of chlorides concentrations in domestic wastewater. In a

study that evaluated the quality of drinking water wells supplies residence of Gaza Strip for

chloride and nitrate concentrations during the period from 1990 to 2002, the authors found

mean of chloride concentration (397.1 mg/l) and of nitrate concentration (126.2 mg/l) were

found statistically higher than were found statistically higher than WHO-recommended

guidelines (El-Madhoun, 2002).

Sheykhi and Moore, (2012) found in evaluate the surface water quality from 29

sampling points along the Kor River in Fars province South West Iran. They Found

chloride between (1205–7161 mg/l) in all samples analyzed. In study of water quality in

27

Gaza strip for the chloride concentration, the authors found that the average of chloride in

water was 381 mg/l (Metcalf and Eddy, 2000). However, in another study of water quality

of drinking wells in Gaza Strip, the authors found 11% of the drinking water wells contain

chloride concentration of less than 250 mg /l (PWA, 2007).

3.5.3 Calcium

Calcium‘s role in the body includes the mediation of vascular contractions and

vasodilatation. Calcium also plays an important role in muscle contraction, nerve

transmission and glandular secretion (Morris, 1992). The human body contains

approximately 20,000 mg. The significance of drinking water calcium for nutrition was

underlined in the 1940‘s by a German nutritionist R. Hauschka who recommended sodium

hydrogen sulphate to be added to water prior to boiling in order to maintain the level of

dissolved calcium and to prevent loss of calcium due to precipitation (Hauschka, 1951).

Mentioned that Calcium and Magnesium are known to occur naturally in water due to its

passage through mineral deposits and rock strata and contribute to its total hardness

(Karavoltsos el al., 2008).

Determined that concentrations of Calcium and Magnesium are usually much greater

than all other ions, it has generally been accepted that hardness can be equated to the sum

of calcium and magnesium concentrations.( Lerga and Osullivan, 2008). Investigated that

the main source of Mg concentration in groundwater is geomedia dissolution .These

relationships reflect mixing processes among different water types such as agricultural

wastewater, Pleistocene aquifer, Nile water, surrounding aquifer, and rock/water

interaction. The dissolution of geomedia (clay, shale, marl, limestone and sand deposits)

produces high concentration of Mganesium, Calcium and HCO3 in the aquifer system (El-

Kashouty, 2010).

Gibrilla al el., (2011) found in study of Seasonal Evaluation of Raw, Treated and

Distributed Water Quality from the Barekese Dam (River Off in) in the Ashanti Region of

Ghana, that the mean dry season of Calcium concentrations in the raw water is equal to

9.20mg/l.

The analytical data of inlet water samples for small scale desalination plants in the Gaza

show that 40% of the samples have calcium concentration less than the recommendations

of the WHO standards (100 mg/l) and 60% of the samples higher than the WHO standards.

28

All product water samples have calcium concentration accepted by the WHO standards.

The calcium concentration in product water samples ranges from 0.6 mg/l to 14.5 mg/l

plants in the Gaza Strip, Palestine (Aish, 2011).

3.5.4 Sodium

Sodium (Na) is an essential element required for normal body function including nerve

impulse transmission, fluid regulation, and muscle contraction and relaxation (Austgen,

2006; Mayo, 2008). However, in excess amounts, sodium increases individual risk of

hypertension, heart disease, and stroke (CDC, 2009). One of the chief sources of sodium is

the consumption of salt; therefore salt restrictions are often recommended as a first-line of

treatment for individuals suffering from these conditions (Korhonen, 2000). The taste

threshold concentration of sodium in water depends on the associated anion and the

temperature of the solution. At room temperature, the average taste threshold for sodium is

about 200 mg/l. No health-based guideline value has been derived as the contribution from

drinking-water to daily intake (WHO, 2011).

The major sources of sodium found in groundwater supplies across the United States is

derived from the natural erosion of salt deposits and sodium bearing rock minerals and the

infiltration of surface waters or storm waters contaminated by road salt; additional sources

may include irrigation and precipitation waters leaching through soils high in sodium,

groundwater pollution by sewage effluent, and infiltration of leachate from landfills and/or

industrial sites (RWPH, 2007).

In the home, additional sodium may be added to drinking water from household water

softening systems. Water softeners that are recharged with salt (sodium chloride) replace

hardness minerals (i.e. calcium and magnesium) with sodium to ―soften‖ water supplies

(KSU, 2002).

Kinetics and metabolism in laboratory animals and humans virtually all of the sodium

present in water and foods is rapidly absorbed from the gastrointestinal tract. Sodium is the

principal cation found in the extracellular body fluids; only small amounts are found within

cells (Guthrie, 1989).

In study of El-Salam canal as a potential project to reuse the Nile Delta drainage water

for Sinai desert agriculture, the microbial and chemical water qualitywere assessed.

29

Representative water samples were manually collected during the seasons winter, spring,

summer, and autumn of two successive years (2003/2004 and 2004/2005), found found

Sodium between (75–294mg/l), in all samples (Othman al el., 2012). Agrawal el al.,

(2011) found that the average of sodium in water was 29.7 mg/l in all samples in a study of

Groundwater Environment of Begusarai District, Bihar.

3.5.5 Magnesium

Magnesium, of which 60 percent (12,000 mg) is found in bone and 20 percent (4,000

mg) in skeletal muscle; the rest circulates in the serum (200 mg) or is divided among other

tissues (3,800 mg) (Elin, 1988). The serum level is maintained between 17 mg/l and 26.7

mg/l. Approximately 50-65 percent of serum magnesium is in the ionized form (Elin,

1988). In the general population, the major portion of magnesium intake is via food and, to

a lesser extent, water (Rubenowitz, 1996). Magnesium deficiency increases risk to humans

of developing various pathological conditions such as vasoconstrictions, hypertension,

cardiac arrhythmia, atherosclerotic vascular disease, and acute myocardial infarction,

eclampsia in pregnant women, possibly diabetes mellitus of type II and osteoporosis

(Rude, 1998; Innerarity, 2000; Saris et al, 2000).

At levels exceeding 0.1 mg/l, manganese in water supplies causes an undesirable taste in

beverages and stains sanitary ware and laundry. The presence of manganese in drinking-

water, like that of iron, may lead to the accumulation of deposits in the distribution system.

Concentrations below 0.1 mg/l are usually acceptable to consumers. Even at a

concentration of 0.2 mg/l, manganese will often form a coating on pipes, which may

slough off as a black precipitate. The health-based value of 0.4 mg/l for manganese is

higher than this acceptability threshold of 0.1 mg/l. (WHO, 2011).

Magnesium-rich mineral waters are easily absorbed and have many health benefits due

not only to their magnesium content, but also because of their content of bicarbonate ions

that help neutralize the carbonic acid formed in the body during metabolic processes.

Several studies have shown that an increased intake of bicarbonate may help prevent

muscle wasting and bone loss (Sebastian, 1994; Frassetto, 1998).

In study of Groundwater resources in some parts of the lower section of the Shire River

valley, Malawi, Manganese exceeded 30 mg / l in 70% of the samples analyzed (Monjerezi

and Ngongondo, 2012).

30

Found magnesium concentration of 50% of the inlet water samples is below the WHO

recommendation standard (60 mg/l) and 50% of the water samples have magnesium

concentration higher than the WHO standard. In the product water samples, the magnesium

concentration of all samples is less than 25 mg/l. 95% of the product samples contain

magnesium concentrations less than 10 mg/l in study of Water quality evaluation of small

scale desalination plants in the Gaza Strip, Palestine (Aish, 2011) .

3.5.6 Potassium

Potassium is an alkali metal and the seventh most common element on earth (Lewis,

1997). It comprises 2.59% of the Earth‘s crust, is highly reactive and does not occur in

nature as a free metal (Burkhardt and Brüning, 2002). potassium has a crystal structure, has

high thermal and electrical conductivities (Burkhardt and Brüning, 2002) and is rapidly

oxidized in moist air (Lewis, 1997). It has a melting point of 63.5°C, a boiling point of

759°C and a density of 0.89 g/cm3 at 20°C (Lide, 2004). Potassium‘s principle salt,

potassium chloride readily dissolves in water (34.4 g/100 g at 20°C), has a low vapour

pressure (Linke, 1965) and a low octanol/water partition coefficient (log Kow) of -0.46

(OECD, 2001). potassium chloride is odourless and has a taste detection threshold of 0.32

g/100 mL (Environment Canada, 1985).

Potassium plays a critical role in many vital cell functions, such as metabolism, growth,

repair and volume regulation, as well as in the electric properties of the cell. Adverse

health effects from exposure to potassium in drinking water are unlikely in healthy

individuals. Higher than normal potassium concentrations in the blood (hyperkalemia) and

ensuing health effects are unlikely because potassium is rapidly excreted in the absence of

pre-existing kidney damage. potassium is a natural and essential element in plants and

animals. Humans are primarily exposed to potassium through food. Although potassium

concentrations in drinking water are generally low and do not pose health concerns, the

high water solubility of potassium chloride and its use in water softeners can lead to

significantly increased exposure. Drinking-water, with an upper 90 th percentile

concentration of 5.2 mg/l. Data from Canada indicate that average concentrations of

potassium in raw and treated drinking water in different areas vary between <1 and 8 mg/l.

However, concentrations ranged up to 51 mg/l in Saskatchewan, which is the largest

production area for potassium chloride in Canada (Health Canada, 2008).

31

The concentration of potassium in seawater is 0.38 g/L. Both sea salt aerosols and soil

dust can contribute to the potassium content of rainwater. Potassium concentrations in

rainwater are generally low, with an average annual concentration of just over 0.1 mg/l

(NRCC, 1977).Potassium levels in deep bedrock aquifers of the prairies tend to be higher

and are generally a function of depth below surface and the distance from the outcrop area

containing the potassium minerals (NRCC, 1977). In Saskatchewan, potash formations are

very deep and are hydrogeologically isolated from useable groundwater resources by very

thick layers of low permeability shales (Shaheen, 2004). In a study conducted on

groundwater environment of Begusarai District, Bihar found the average potassium in

water was 2.1 mg/l in all samples that analyzed.

3.5.7 Nitrates and nitrites

Nitrates and nitrites come in various forms, but when dried are typically a white or

crystalline powder. Nitrate (NO3) and nitrite (NO2) are also naturally-occurring compounds

that are a metabolic product of microbial digestion of wastes containing nitrogen, for

example, animal feces or nitrogen-based fertilizers (USA, 2001; USEPA, 2006). Nitrogen

occurs primarily in the oxidized forms of nitrates and nitrites or the reduced forms of

ammonia or “ organic nitrogen .“ Where the nitrogen is part of an organic compounds

such as amino acids, a protien, a nucliec acid or one of many other compounds. All of

these can be used as nutrients, although the organic decompose to simpler form (Pandy et

al., 1998).

Most chemicals arising in drinking water are of health concern only after extended

exposure of years, rather than months. The principal exception is nitrate. Typically,

changes in water quality occur progressively, except for those substances that are

discharged or leach intermittently to flowing surface waters or groundwater supplies from,

for example, contaminated landfill sites (WHO, 2011).

Sodium and potassium nitrates are used as fumigants in canisters, which are placed

underground in rodent dens and holes, and then ignited to explode and release gases that

kill the rodents (USEPA, 1991). Sodium nitrite is a food additive that is used as a

preservative (USA2001; WHO, 2006).

Exposure to higher levels of nitrates or nitrites has been associated with increased

incidence of cancer in adults, and possible increased incidence of brain tumors, leukemia,

32

and nasopharyngeal (nose and throat) tumors in children in some studies. (Ward, 2000;

Sanchez, 2001; Pogoda and Preston 2001; Volkmer, 2005).Nitrate contamination of

drinking water is of special concern in agricultural areas (Gelberg .1999; Knobeloch and

Proctor. 2001).Nitrates are not filtered out of drinking water using filtration devices that

utilize only carbon or activated carbon filtration. Nitrates can be filtered from drinking

water using ion exchange, reverse osmosis, or electrolysis methods (USEPA, 2005).

The increase in demand for food supplies may lead to groundwater contamination by

nitrate since the major contributor to nitrate contamination in groundwater is the use of

nitrogenbased fertilizers associated with cropping activities (Shamrukh et al., 2001; Wolf

et al., 2003; Almasri and Kaluarachchi, 2005; Mao et al., 2006; Tait et al., 2008).

Elevated nitrate concentrations in drinking water can cause methemoglobinemia in infants

and stomach cancer in adults (Lee et al., 1991; Wolfe and Patz, 2002).Sources of

groundwater contamination by nitrate can be classified into point and non-point sources.

Non-point sources of nitrogen include fertilizers, manure application, leguminous crops,

and dissolved nitrogen in precipitation, irrigation return-flows, and dry deposition. Point

sources such as septic systems and cesspits can also be major sources of nitrate pollution

(Mitchell et al., 2003; Babiker et al., 2003; Almasri and Kaluarachchi, 2005; Santhi et al.,

2006). Elevated Major routes of entry of nitrogen into water bodies are municipal and

industrial wastewater, private sewage disposal systems, decaying plant debris according to

(LVEMP, 2002). An increase of nitrates in water is often associated with farming fertilizer,

pesticide or poor sanitary activities (Jacinthe, 2000; George, 2001). Increased nitrate intake

could also affect the thyroid function (Penka el al., 2008).

Nitrate often contaminates groundwater resources due to excessive use of fertilizer and

uncontrolled on-land discharge of raw and treated wastewater and can therefore limit the

direct use of groundwater for drinking water purpose (Buttiglieri el al., 2005).

Experimental studies have shown that the presence of high concentration of nitrates in

groundwater is linked to the nature of the soil on the other, to the effect of continuous

discharges of wastewater and successive irrigations (Ibnoussina el al., 2006).

Several studies in Gaza reported high nitrate levels in groundwater as one of the major

concerns among the public and governmental decision makers (Abu Maila et al., 2004;

Shomar, 2006).

33

In a study conducted in gaza Strip, almost 90% of the groundwater wells of the Gaza Strip

sampled between 2001 and 2007 showed nitrate concentrations two to eight times higher

than the WHO standards (Shomar, 2008). In another study of water well in Gaza Strip, the

authors found 11% of the drinking water wells contain nitrate concentration of less than 50

mg / L (PWA, 2007). However, in a study that have been done to evaluate the surface

water quality from 29 sampling points along the Kor River in Fars province South West

Iran, the authors found nitrate between (15–1421 mg/l ) in all samples that have been

analyzed. (Sheykhi and Moore, 2012).

Bonham, (2011) found nitrate (NO3) concentration varies from 0.19 to 140.3 mg/l and

0.39 to 152.9 mg/l in dry and wet seasons, respectively. About 19% of water samples in

dry season and 28% in wet season.

Akoto and Adiyiah,( 2007) found in their study that was aimed for the determination of

the trace metals and some physiochemical properties in drinking water samples from the

Brong Ahafo region of the Republic of Ghana, where drinking water samples are not

treated before it is consumed. The purpose was to ascertain the quality of water from these

sources. They found nitrite concentration between 0.09-0.99 mg/l in all samples they

analyzed.The average concentration of nitrate for drinking water wells in Gaza Strip is 139

mg/l (Mayla and Abu- Amr. 2010).

3.5.8 Biochemical oxygen demand

Biochemical oxygen demand (BOD) is defined as ‗the amount of oxygen consumed by

bacteria and other microorganisms while they decompose organic matter under aerobic

conditions at a specified temperature‘ (Delzer and McKenzie, 2003).

BOD is often used as an assessment of the oxygen demand of wastewaters, effluents,

and polluted waters with greater BOD generally signifying higher rates of pollution.

Biochemical oxygen demand is a measure of the oxygen used in bacteria mediated

oxidation of organic substances in water and wastewater (Mayur and Indu , 2002)

measures the amount of oxygen used by microorganisms, in this case bacterium, to oxidize

organic matter present within the water sample (Nielsen el al., 2004).

The BOD concentration in most wastewaters exceeds the concentration of dissolved

oxygen available in an air-saturated sample. Therefore, it is necessary to dilute the sample

34

before incubation to bring the oxygen demand and supply into appropriate balance.

Because bacterial growth requires nutrients such as nitrogen, phosphorus, and trace metals,

these are added to the dilution water, which is buffered to ensure that the pH of the

incubated sample remains in a range suitable for bacterial growth. Complete stabilization

of a sample may require a period of incubation too long for practical purposes; therefore, 5

days has been accepted as the standard incubation period (APHA, 1999).

The amount of BOD present is calculated by finding the difference between the initial

and final levels of dissolved oxygen. The test can be modified to use longer and shorter

time periods, as well as various temperatures (APHA et al 1992). The oxygen consumption

from degradation of organic material is normally measured as Biochemical oxygen demand

and chemical oxygen demand, so there is an important relation between them (Dongan et

al., 2009).

As most of the BOD sensors previously reported have been designed for long-term use, a

pure culture or a mixture of two microbial strains has been widely used. Some of these

BOD sensor systems have already been commercialized (Praet et al., 1995; Marty et al.,

1997).

Biochemical oxygen demand (BOD) is a way to assess the amount of oxygen required

for aerobic microorganisms to decompose the organic material in a sample of water over a

specific time frame (Houghton Mifflin Company, 2010). It is the oxygen uptake demand of

a source of water. The purpose of this test is to determine the potential of wastewater and

other water to deplete the oxygen levels of receiving waters (Brake, 2007).

3.5.9 Hardness

The use of hard water could lead to scale formation in the equipment which in turn, could

lead to cleaning problems, under-pasteurization or malfunctioning of valves essential for

the microbiological or chemical safety of the process. For some but not all utility water

applications, water of potable source is required. Therefore, the requirements regarding

safe storage and distribution may vary. Below are a selection of guidelines and standards

for selected utility water applications in the food industry (PCL, 2002). Health significance

of water hardness was directly evidenced in the late 1950‘s. The relationship between

water hardness and the incidence of vascular diseases was first described by a Japanese

chemist Kobayashi (Kobayashi, 1957).

35

Hardness caused by calcium and magnesium is usually indicated by precipitation of soap

scum and the need for excess use of soap to achieve cleaning. Consumers are likely to

notice changes in hardness. Public acceptability of the degree of hardness of water may

vary considerably from one community to another. The taste threshold for the calcium ion

is in the range of 100–300 mg/l, depending on the associated anion, and the taste threshold

for magnesium is probably lower than that for calcium. In some instances, consumers

tolerate water hardness in excess of 500 mg/l. Depending on the interaction of other

factors, such as pH and alkalinity, water (WHO, 2011).

In the late 1990‘s several epidemiological studies were carried out in Taiwan to focus on

relationships between drinking water hardness and mortality from various diseases

showing significant geographical variation. Magnesium was found to have protective effect

against cerebrovascular diseases (Yang, 1998) and hypertension (Yang et al, 1999).

Reported that the hardness of drinking water is determined largely by it,s content of

calcium and magnesium. It is expressed as the equivalent amount of calcium carbonate that

could be formed from calcium and magnesium in solution. Hard water contains higher

levels of calcium or magnesium than soft water (Chiu el al., 2010). Water hardness is

essential parameter industrial water consumption in manufacturing of high –quality

products (vireo, 2002). Water hardness originates from existence of cations such as

calcium, magnesium and in lower traces aluminum, iron and other bivalent and trivalent

cations. Among hardness causes, ions calcium and magnesium are identified as main

factors of hardness (Ildiz, 2003).

In a study of Groundwater resources in some parts of the lower section of the Shire

River valley, Malawi, the authors found that these parts are not potable for rural domestic

water supply due to high salinity (Monjerezi and Ngongondo, 2012).

3.5.10 Turbidity

It is deemed as the cloudiness of a liquid as a result of particulate matter being

suspended within it. Its importance is highlighted by the fact that suspended solids interfere

with effective chlorination/disinfection and helps to shield bacteria (Asano, 2007).

Additionally, suspended solids also serve as a place of attachment for bacteria (Hurst,

1996). The general WHO standard set for drinking water is a turbidity <0.1 NTU

(Nephelometric Turbidity Unit). A turbidity >5 NTU is considered unhealthy.

36

Microorganisms can adhere to particles protected them from disinfection, provide a

source of nutrients, and facilitate their movement within the distribution system (Morin el

al., 1999). Furthermore an increase in turbidity in the distribution system will exert a

greater chlorine demand which could lead to inadequate disinfection of the distributed

water (Kirmeyer el al., 2002). Increased turbidity may be due to contamination in the

storage tank, water age or mixing issues or tank material degradation (Kirmeyer el al.,

2002).

Zielina, (2010) stated that it is very important to constantly control the dynastic work of

rapid filters drink rung. Usually, turbidity is used for filtration process monitoring but

recently, particle size distribution characterizes treated water quality and filter efficiency

more precisely than turbidity.

Akoto and Adiyiah,( 2007) found in study of the determination of the trace metals and

some physiochemical properties in drinking water samples from the Brong Ahafo region of

the Republic of Ghana, where drinking water samples are not treated before it is consumed.

The purpose was to ascertain the quality of water from these sources. Found turbidity

between 3.25-72.50 NTU. In all samples analyzed.

3.5.11 Electrical conductivity

Electrical conductivity is a water-quality property of ten measured when environmental

water samples are collected. It is a simple and highly accurate measurement and is used in

many environmental and industrial applications. In solutions, the electrical conductivity is

the sum of the conductivities of all the conducting constituents. Electrical conductivity

measurements have been used to predict the salinity (Lewis, 1980; Brown, 1989).

Accurate measurements and calculations of electrical conductivities for natural waters

will provide a greater understanding of the relative contributions of individual ions to the

electrical conductivity. In addition, when coupled with charge balance, electrical

conductivity can be used to identify erroneous chemical analyses (Miller, 1988) .Several

methods have been developed to calculate electrical conductivities of natural waters from

their chemical compositions. (Pawlowicz, 2008).

The global contend of dissolved cations, and anions, represented by the EC (280

μs/cm) is rather high for river water. However, it follows normal seasonal trends; it is

37

highest during the coolest months of December and January when discharge of the river is

low and lowest during the summer months when the flow released from Lake Nasser is

highest. (Batisha, 2007).

Mentioned that the EC of the water samples from Jeddah wells showed a wide variation

even in the sample, which is collected from the same village, and the range is between 800

μs/cm and 7000 μs/cm (Al-Ahmadi).

Abd-Elrahman (2003) stated that the EC is a measure of water ability to conduct

electrical current that passes through it and it is directly proportional to the amount of

dissolved substances in water. Dev el al., (2011) stated that the EC is also reduced for

distilled water in comparison to the sea water due to low amount of TDS as expected .

Akoto and Adiyiah, (2007) study the determination of the trace metals and some

physiochemical properties in drinking water samples from the Brong Ahafo region of the

Republic of Ghana, where drinking water samples are not treated before it is consumed.

The purpose was to ascertain the quality of water from these sources. They found

electrical conductivity between 35-1216 μs/cm in all samples analyzed.Also Sheykhi and

Moore (2012) found in the evaluation the surface water quality from 29 sampling points

along the Kor River in Fars province South West Iran that EC value was between (6500–

21510 μs/cm) in all samples analyzed.

3.5.12 pH

Is a measure of how acidic or alkaline a solution is. In pure water at room temperature, a

small fraction (about two out of every billion) of the water molecules (H2O or really H-O-

H) split or dissociate, a spontaneously into one positively charged hydrogen ion (H+) and

one negatively charged hydroxide ion ( OH-) each. Then is an equal number of each ion,

so the water is said to be neutral (Panicker and Ravindra, 997).

pH is the hydrogen ion concentration expressed as log10 (1/h).Sins pH value of 7

indicates neutrality, 0-7 acidity, and 7-14 alkalinity, pH value of 6-8 is desirable.

Bicarbonate ion is a component of both alkalinity and acidity. Aquatic life is more

sensitive to pH. pH important in chemical reaction and is significant in the treatment units

like coagulation, softening, chlorination and sludge digestion (Workshop, 2006).

38

The pH of water is a measure of the acid–base equilibrium and, in most natural waters,

is controlled by the carbon dioxide–bicarbonate–carbonate equilibrium system. An

increased carbon dioxide concentration will therefore lower pH, whereas a decrease will

cause it to rise. Temperature will also affect the equilibrium and the PH. In pure water, a

decrease in pH of about 0.45 occurs as the temperature is raised by 25 °C. In water with a

buffering capacity imparted by bicarbonate, carbonate, and hydroxyl ions, this temperature

effect is modified (APHA, 1989). The pH of most raw water lies within the range 6.5–8.5

(APHA, 1989).

Exposure to extreme pH values results in irritation to the eyes, skin, and mucous

membranes. Eye irritation and exacerbation of skin disorders have been associated with pH

values greater than 11. In addition, solutions of pH 10–12.5 have been reported to cause

hair fibers to swell (WHO, 1986). In sensitive individuals, gastrointestinal irritation may

also occur. Exposure to low pH values can also result in similar effects. Below pH 4,

redness and irritation of the eyes have been reported, the severity of which increases with

decreasing pH. Below pH 2.5, damage to the epithelium is irreversible and extensive

(WHO, 1986). As water does not consist only of hydrogen and oxygen, there are various

chemical compounds that influence water taste, as iron, manganese, magnesium, calcium,

zinc, chlorides, sulphates, etc. The best pH of drinking water is 6-7 (CAICW, 1982).

pH value considerably influences the course of biochemical and chemical processes in

waters. In clean natural waters pH value is 4.5-8.3, dependent on content of hydrogen

sulphide, phosphates etc. pH value can also be influenced by biological processes, water

temperature and respiration (Chemistry and Biology, 1993). pH is an important parameter

considering water quality; it is used for calculating concentrations of carbonate,

bicarbonate and carbon dioxide in the water (CAICW, 1982).

El-Baba, (1999) found that the pH of the ground water wells that supply Gaza city for

domestic use should be in equilibrium point. If the pH of water is raised from the

equilibrium point, the water becomes scale forming and will deposit calcium carbonate. If

the pH is lowered from the equilibrium pH, point the water turns corrosive.

In a study to undertake a preliminary assessment of the groundwater quality of the West

Thrace region, forty groundwater samples collected from Edirne and Cana kale were

39

assessed for their suitability for human consumption found pH values of all samples were

between 5.5 and 8.5 limits (Aydin, 2006).

3.5.13 Temperature

The water temperature varied from 24 °C in the wet season to 28 °C in the dry season

with a mean annual temperature of 26 °C. These values are within the natural background

levels of 22–29 C for waters in the tropics (Stumm & Morgan, 1981).

The temperature of source water can fluctuate seasonally and depends upon the type of

source. For example, groundwater are nearly constant temperatures, while surface water

temperature depends strongly on climate (Viessman and Hammer, 1993). In Philadelphia

Pennsylvania, the summer time water temperature of rivers and drinking water is about 25

ºC, whereas the wintertime temperature can be 10-15 ºC depending on the winter

conditions (Burlingame, 2001). Additionally, a southwest Virginia water authority has seen

raw water temperatures approaching 1-2 ºC in the winter months, and as high as 20 ºC

during the summer (Knocke, 2000).

Temperature is a very important parameter for many physical and chemical water

treatment applications (AWWA, 2002). Changes in temperature are also important to

predicting distribution system integrity breaches including mains breaks, corrosion

nitrification and changes in hydraulic conditions (NRC, 2006). Many systems conduct

online temperature monitoring both at entry points and within the distribution system,

Warmer temperature are associated with increased growth rates of bacteria (Besner el al.,

2002).

Although the literature suggests that water temperature influences odor response, there

are few quantitative data reported (Bartels, 1986; Burlingame, 1991; Burlingame and

Tanjuncto, 2001). Data reported for the food and beverage industries indicated that sample

serving temperature affected consumer perception (Pangborn and Bertolero ,1972; Baron

and Penfield.1996 ).

40

3.6 Water quality standards:

Speciation of potable water for drinking and household uses and water used in the food

industry according to the Palestinian standards were given in the following tables

(Palestinian standard, 2005):

Table (1): Water Microbiological standards

Tests WHO standard Palestinian standard

Total Count -- --

Total Coliform 0 3/100ml

Fecal Coliform 0 0

Fecal Streptococci 0 --

Pseudomonas aeruginosa. -- --

Mold -- 0

Yeasts -- 0

Table (2): Water Physical standards.

Tests WHO standard Palestinian standard

Hardness 500 mg/l 500 mg/l

pH 8.5-6.5 pH 8.5-6.5 pH

Temperature -- 8-25 °C

Turbidity 5 NTU 5 NTU

Electrical Conductivity 3300 μs/cm 3300 μs/cm

41

Table (3): Water chemical standards.

Tests WHO standard (mg/l) Palestinian standard (mg/l)

Total dissolved solids 1000 1000

Chloride 250 250

Calcium 200 100

Sodium 200 200

Magnesium 0,5 0,5

Potassium 5 10

Nitrite 50 50

Nitrate -- --

Biological Oxygen Demand 0 --

42

4. Materials and Method

4.1 Materials

4.1.1 Samples:

Water samples that used in the manufacture of food in factories and food processing units

in Gaza city were collected and examined for its physicochemical and microbiological

properties. These factories were classified into five groups (See table 4).

1- Juices and carbonated beverages factories.

2- Bakery factories.

3- Ice-cream factories.

4- Oriental sweets factories.

5- Cake and pytefor factories.

Table (4): Number and distribution of samples.

Types of factories Sample collected Total sample

Juices and carbonated beverages 3x6 18

Bakery 3x6 18

Ice-cream 3x6 18

Oriental sweets 3x6 18

Cake and pytefor 3x6 18

Total sample from all factories 90

From each group of these factories, a stated water samples from different production lines

and containers were collected for the purpose of this study.

The investigation was During during the month of August and September 2011.

4.1.2 Collection of water samples.

A. The collection of water samples was performed from all the food factories of Gaza City

that included in this study.

B .The samples were collected in a clean sterile glass bottles with a capacity of 500 ml.

43

°C. The glass bottles were washed thoroughly with distilled water and sterilized in the

autoclave. The water samples were transported to the laboratory in an ice box at 5 ± 1°C,

and subjected for bacteriological and chemical analysis within 24 hours of collection.

4.1.3 Equipment and Instruments

-Ice box

-Glass and plastic bottles

- 45mm disposable pre-sterilized culture dishes

- Incubator, typ1711509900310 Brand WTC Binder production Germany

- Oven , typ1511530000202 Brand WTC Binder production Germany

- Autoclave, model ER-38501 , Brand A.Ravona production Germany

- Vacuum filtration apparatus, model 2534c-01 Brand Welch Production America

- 0.45μm porosity membrane filters (Schleicher&schuell, ME25/21ST0).

- Forceps (sterilized).

- Binocular microscope.

- Safety cabinet. model Filtair 936 Brand Erlab Production France

- Turbid meter. model 46500-00 Brand Hach Production America

- pH meter. model pH 211 Brand Hanna Production Portugal

- EC meter. model 51875-60 Brand Hach Production America

- Spectrophotometer. , model S-22 , Brand Boeco production Germany

- Flame photometer. model PFP7-10 Brand Jenway Production United Kingdom

- BOD Manometer. model 26197-10 Brand Hach Production America

44

4.2 Methods

4.2.1 Methods of sampling

Prepare the required tools. Such as steriles bottles , cotton alcohol. The source of the

flame and ice box.

cleaning nozzle tap with alcohol for 30 seconds. Then open the tap for 20 seconds. Then

grab hold of bottles open and cover and tired even before its end. Then closed bottles .

And write the desired data on the bottles. Then put the bottles in the ice box. And

transported to the laboratory

4.2.2 Microbiological Analysis

The procedure used in the microbiological analysis were recommended by the standard

method according to American Public Health Association, APHA, (1995).All Media use

were from Brand Himedia Production India

4.2.2.1 Microbiological Media and determination

All the media used in the present investigation were purchased and prepared according to the

instruction manual of Difco company (Difco Manual, 1998).

4.2.2.1.1 Plate Count Agar for aerobic bacteria determination.

The typical formula (g/l):

BactoTryptone, 5 ;Bacto Yeast Extract, 2.5; Bacto Dextrose (Glucose), 1 andBacto Agar,

15 .Final pH 7.0 ± 0.2 at 25°C. Suspend 23.5 grams in 1 liter of distilled or deionized

water, heat to boiling to dissolve completely, autoclave at 121°C for 15 minutes.

Aerobic bacteria determination:

One ml of properly diluted water sample was spread on to Plate Count Agar plates were

then incubated at 35 ± 2°C for 18-48 hours. Colonies were counted under 10-25x

magnification.

4.2.2.1.2 M-Endo agar for Total Coliform

The typical formula (g/l):

Tryptose, 10.0 ; Thiopeptone, 5.0; Casitone, 5.0 ; Yeast extract, 1.5; lactose, 12.5; Sodium

45

chloride, 5.0; Potassium phosphate dibasic (K2HPO2), 4.375; sodium lauryl sulfate, 0.050;

sodium desoxylate, 0.10; Sodium sulfate, 1.05; Basic fuchsin, 1.05 and Agar, 15.0.

All the above ingredients was rehydrated in one liter of distilled water containing 20 ml ethanol

(95%) . heated to dissolve agar, then quickly removed and cooled to 50 °C. the medium was not

sterilized . the final pH value was adjusted at 7.1 ± 0.2.

Total Coliform determination:

The coliform group of organisms include aerobic and facultative anaerobic bacteria which

ferment lactose sugar at 35 °C and produce gas (CO2). These bacteria include Citrobacter,

Enterobacter, Acinetobacter, Klebsiella and E. coli. The membrane filter technique was used for

their isolation. A 100 ml of water was filtered and the mmbrane filter was placed on M-Endo

agar, the plates were incubated for 24-48 hours. at 35 °C. Colonies with red colour suspected to

be a coliform and were confirmed by each of Gram stain, lactose fermentation test, API 20E test

and ONPG test. (American Public Health Association APHA, 1995).

4.2. 2.1.3 M-FC meduim agar for Fecal Coliform

The typical formula (g/l):

Tryptone, 10.0; Peptocomplex, 5.0; Yeast extract, 3.0; Sodium chloride, 5.0; Lactose, 1.25;

Bile salts, 1.5; Aniline blue, 0.1 and agar, 13.0.

50 gram of the powder was suspended in 100ml of distilled water , 10ml of rosolic acid

solution (1% NaOH 0.2N) was added. The mixture was mixed well and boiled. Medium

was not sterilized and cooled to 50 °C then poured into petri dishes.The final pH value was

adjusted at 7.2 ± 0.2.

Fecal coliform determination:

This is a subgroup of total coliform which has a property of fermentation of lactose sugar

at 45.5 °C with the production of gas (CO2). This group contain E. coli and Klebsiella.

The procedure used for their isolation was the membrane filter technique .A 100ml of

water was passed through the membrane under a negative pressure and the membrane were

placed on the surfacce of M.fecal coliform agar (M-FC). The plates were incubated for 24

hours at 44.5°C. the suspected colonies with blue colour were confirmed by inoculating EC

broth and incubated for 48 hours at 44.5 °C, the air bubbles in the Durham tube indicated a

positive result for fecal coliform. (American Public Health Association APHA, 1995).

46

4.2.2.1..4 M- Enterococcus agar for Fecal Streptococcus

The typical formula (g/l):

Pancreatic digest of casein , 12.0; Proteose peptone nitrate, 8.0; Yeast extract, 5.0;

Dextrose, 2.0; Dipotassium phosphate, 4.0; soduim azide, 0.4; Agar, 10.0 and

Triphenyltetrazolium chloride, 0.1.

42 gram of the powder was suspended in one liter of distilled water, mixed throughly,

heated with frequent agitation and boiled for completely dissolving. Medium was not

sterilized . the final pH value was adjusted at 7.2 ± 0.2.

Fecal Streptococci determination:

This is a subgroup of Enterococci, which are gram positive bacteria. Fecal streptococci

have been shown a good indicator for fecal pollution. They are more persistent in the

environment than the coliforms which means that when the coliforms in a sewage have

died off the sewage may still be detected by the content of fecal streptococci. The

procedure used for their isolation was the membrane filter technique. A 100ml of water

were filterd and the membranes were placed with the forceps on the surface of m-

Enterococcus agar. The plates were incubated for 24 –48 hours at 35°C. the suspected

colonies with dark red were counted. (American Public Health Association APHA, 1995).

4.2.2.1.5 Cetrimide agar for Pseudomonas aeruginosa

The typical formula (g/l):

Bacto Peptone , 20; Magnesium Chloride , 1.4; Potassium Sulfate,10 ;Cetrimide

(Cetyltrimethylammonium Bromide) , 0.3 ;Bacto Agar , 13.6 ; Final pH 7.2 ± 0.2 at 25°C.

45.3 grams in one liter distilled or deionized water containing 10 ml of glycerol. Heat to

boiling to dissolve completely. Autoclave at 121°C for 15 minutes. Cool to room

temperature. Dispense into sterile Petri dishes, or as desired.

Pseudomonas aeruginosa determination:

The procedure used for their isolation was the membrane filter technique. A 200 ml of

water were filtered and the membranes were placed with the forceps on the surface of

Cetrimide agar. The plates were incubated for 18 –48 hours at 35± 2oC. The suspected

47

colonies with yellow-green to blue were counted. (American Public Health Association

APHA, 1995).

4.2.2.1.6 Sabouraud Dextrose Agar for Fungi (molds & yeast)

The typical formula (g/l):

BactoNeopeptone, 10; Bacto Dextrose, 40 and Bacto Agar, 15. Final pH 5.6 ± 0.2 at 25°C.

65 grams in one liter of distilled was, heat to dissolve the medium completely, sterilize by

autoclaving at 121 °C for 15 minutes.

Fungi (molds & yeast) determination:

The procedure used for their isolation was the membrane filter technique. A 100ml of

water were filterd and the membranes were placed with the forceps on the surface of

Sabouraud Dextrose Agar. The plates were incubated for 18 –48 hours at 30± 2°C, for 3-5

days. (APHA, 1995).

4.2.2.2 Biochemical test

The Analytical Profile Index (API) 20 E strips (BioMerieux) was used as a biochemical

system for identification of Gram- negative rod bacteria. The API 20 E strip consists of 20

microtubes containing dehydrated substrates .These tests were inoculated with bacterial

suspension, which reconstitutes the media .The strips were incubation, metabolism

produces changes that are either spontaneous or revealed by the addition of reagents .The

standard were scored according to a Reading Table and the identification was obtained by

referring to the API catalogue.

4.2.2.3 Membrane filters (MF).

The MF technique was used in the isolation of bacteria from different water samples

according to the American Standard Methods for Examination of Water and Wastewater

(APHA, 1995).

4.2.3 Chemical and Physical Analysis of Water Samples.

All water samples used in the present study was investigated and examined for total

dissolved solids, nitrite, nitrate, chloride, calcium, magnesium, potassium, sodium,

hardness, biological oxygen demand (BOD), temperature, electrical conductivity, turbidity,

48

and pH according to the American Standard Methods for Examination of Water and

Wastewater (APHA el al., 1995).

4.2.3.1 Total dissolved solids (TDS)

Total dissolved solids (TDS) comprise inorganic salts (principally calcium, magnesium,

potassium, sodium, bicarbonates, chlorides and sulfates) and small amounts of organic

matter that are dissolved in water.(WHO, 2011).

Method: Gravimetric After Filtration

Procedure

1-. Wash filter paper by inserting it in the filtration assembly and filtering 3 successive 20

mL portions of distilled water. Continue suction to remove all traces of water. Discard

washings.

b. Dry evaporating dish at 104 ± 10 °

C for 1 h, cool and store in desiccator. Weigh

immediately before use.

c. Stir sample with a magnetic stirrer and while stirring pipette a measured volume on to

the filter using a wide bore pipette. Choose sample volume to yield between 10 and 200 mg

dried residue. Wash with three successive 10 mL volumes of distilled water. Continue

suction for about 3 min after filtration is complete.

d. Transfer total filtrate with washings to a weighed evaporating dish and evaporate to

dryness in an oven at 104 ± 10C. If necessary add successive portions to the same dish

after evaporation in order to yield between 10 and 200 mg dried residue. To prevent

splattering oven temperature may be lowered initially by 20 °

C below boiling point and

raised to 104 °C after evaporation for 1h. Cool in a desiccator and weigh.

Calculation

mg Dissolved Solids/L =

Where:

A = weight of dried residue + dish, mg

B = weight of dish, mg.

(A - B) x 1000

ml sample

49

4.2.3.2 Chloride

Chloride is present in natural waters from the dissolution of salt deposits, and

contamination from effluent disposal. Sodium chloride is widely used in the production of

industrial chemicals such as caustic soda, chlorine, and sodium chlorite and hypochlorite.

Potassium chloride is used in the production of fertilizers.

Method: Argentometric Titration

Procedure:

a. Use a 100 mL sample or a suitable portion diluted to 100 mL. If the sample is coloured

or turbid, add 3 mL Al(OH)3 suspension, mix, let settle and filter.

b. Add 1 mL K₂CrO₄ indicator solution; titrate with AgNO3 titrant to a pinkish yellow end

point.

c. Repeat the titration with distilled water blank. A blank of 0.2 to 0.3 mL is usual.

Calculation

Cl mg /L =

A = mL titration for sample

B = mL titration for blank

N = normality of AgNO3

4.2.3.3 Calcium

Method: EDTA Titrimetric

Procedure

a. Take 50 mL sample or an aliquot diluted to 50 mL such that the calcium content is not

more than 10 mg. Samples which contain alkalinity greater than 300 mg/L should be

neutralized with acid, boiled for 1 min and cooled before titration.

( A - B ) x N x 35 .450

ml sample

50

b. Add 2 mL NaOH solution or a volume sufficient to produce a pH of 12 to 13. Start

titration immediately after addition of the alkali. Add 0.1 to 0.2 g indicator mixture. Titrate

with EDTA solution, with continuous mixing, till the color changes from pink to purple.

Check end point by adding 1 to 2 drops excess titrant to make certain that no further color

change occurs.

Calculation

mg Ca/L=

Where:

A = mL titrant for sample

B =

4.2.3.4 Sodium

Depends on the appreciation of the idea of atoms flame burning. By a reception where they

are gentle on the filter element sodium. Special shades obscure the other elements and the

spectrum of sodium is absorbed only.

Method: Flame Emission Photometric

Procedure

a. Follow instructions of flame photometer manufacturer for selecting proper photocell,

wavelength, slit width adjustments, fuel gas and air pressure, steps for warm up, correcting

for interference and flame background, rinsing of burner, sample ignition and emission

intensity measurements.

b. Prepare a blank and sodium calibration standards, in any of the applicable ranges, 0-

100, 0-10, or 0-1 mg Na/L. Set instrument zero with standard containing no sodium.

Measure emission at 589nm and prepare calibration curve. Determine sodium

concentration of the sample, or diluted sample, from the curve.

mgNa/L= mgNa/L( from the calibration cuve ) x Dilution

A x B x 400.8

ml sample

mL of standard calcium solution taken for titration

mL EDTA titrant

51

Dilution =

4.2.3.5 Magnesium

Magnesium is one of the reasons total hardness. As a temporary hardship. And be in the

case of magnesium carbonate and hardship always either in the case magnesium nitrate.

Method: Calculation from Total Hardness and Calcium

Get the values for Total Hardness and Ca Hardness determined by EDTA and calculate

Mg.

Calculation:

mg mg/l = (TH as mg CaCO3/l - Calcium Hardness as mg CaCO3/l) x 0.243

Where:

TH = Total Hardness, mg CaCO3/l

4.2.2.6 Potassium

Depends on the appreciation of the idea of atoms flame burning. By a reception where they

are gentle on the filter element potassium. Special shades obscure the other elements and

the spectrum of potassium is absorbed only

Method: Flame Emission Photometric

a. Follow instructions of flame photometer manufacturer for selecting proper photocell,

wavelength, slit width adjustments, fuel gas and air pressure, steps for warm up, correcting

for interference and flame background, rinsing of burner, sample ignition and emission

intensity measurements.

b. Prepare a blank and potassium calibration standards, in any of the applicable ranges, 0-

100, 0-10, or 0-1 mg K/L. Measure emission at 766.5 nm and prepare calibration curve.

Determine potassium concentration of the sample, or diluted sample, from the curve.

mL sample + mL distilledwater

ml sample

52

mgK/L= mgK/L( from the calibration cuve ) x Dilution

Where:

Dilution =

4.2.3.7 Nitrite

Sample was analyzed quickly to avoid biochemical changes Converts nitrite To nitrate or

ammonia.

Method: Sulphanilamide Spectrophotometric

Spectrophotometer for use at 543nm or filter photometer with green filter, maximum

transmittance near 540nm, providing 1 cm light path or longer.

Spectrophotometer for use at 543nm or filter photometer with green filter, maximum

transmittance near 540nm, providing 1cm light path or longer.

a. Add 2 mL colour reagent to 50 mL sample, or to a portion diluted to 50 mL, and mix.

b. Measure absorbance at 543nm. Wait between 10 min and 2h after addition of color

reagent before measurement

c. Prepare standard curve by diluting 1, 2, 3, 4 and 5 mL of standard nitrite solution to 100

mL to give 5, 10, 15, 20 and 25 μg/L concentration, respectively.

Calculation:

Compute sample concentration directly from the curve, taking in consideration dilution of

the sample if applicable.

4.2.3.8 Nitrate

Spectrophotometer, for use at 220nm and 275nm with matched Silica cells of 1 cm or

longer light path.

Method: Uv Spectrophotometric

Spectrophotometer, for use at 220nm and 275nm with matched Silica cells of 1 cm or

longer light path.

Procedure

a. Treatment of sample: Add 1 mL HCl to 50 mL clear/filtered sample, mix.

mL sample + mL distilledwater

ml sample

53

b. Preparation of standard curve: Prepare calibration standards in the range of 0-7 mg NO3-

-N/L, by diluting to 50 mL the following volumes of standard solutions; add 1 mL of HCl

and mix.

Nitrate Standard

solution, mL 1 2 4 7 10 15 20 25 30 35

NO3--N, mg/l 0.2 0.4 0.8 1.4 2.0 3.0 4.0 5.0 6.0 7.0

c. Spectrophotometric measurements: Read absorbance or transmittance against re-distilled

water set at zero absorbance or 100 % transmittance. Use a wavelength of 220 _m to obtain

nitrate reading and a wavelength of 275nm to determine interference due to dissolved

organic matter.

4.2.3.9 Biochemical oxygen demand(BOD5)

The principle of the method involves measuring the difference between the oxygen

concentration of the sample and after incubation it for five days at 20 oC .

Procedure:

1.prepare dilution water in a glass container by bubbling compressed air in distilled

water for about 30 minutes.

2. Add one ml of each of Phosphate buffer, Magnesium Sulphate, Calcium Chloride,

and Ferric Chloride solutions for each liter of dilution water and mix throughly.

3.Neutralize the sample to pH arround 7.0 by using 0.1 N NaOH or H2SO4.

4.Since the DO in the sample is likely to be exhausted, it is usually necessary to prepare a

suitable dilution of the sample according to the expected BOD5 range.

5. Prepare dilutions in a bucket or large glass through, mix the contents thoroughly, fill

two sets of the BOD5 bottles.

6.Keep one set of the bottles in BOD5 incubator at 20 °C for Five days, and determine

the DO content in another set immediately.

7.Determine DO in the sample bottles immediately after the completion of five days

of incubation

54

Calculation:

BOD, mg/l = Do – D5 x dilution factor.

Where Do = initial Do in the sample.

D5 = Do after five days

4.2.3.10 Total hardness

Total hardness is the sum of the concentrations of calcium and magnesium ions expressed

as a calcium carbonate equivalent. Hardness may also be classified as carbonate

(temporary) or noncarbonated (permanent) hardness.

Method: EDTA Titrimetric

Procedure

a. Dilute 25 mL sample to 50 mL with distilled water. Add 1 to 2 mL buffer to give a pH of

10.0 to 10.1. Add 1 to 2 drops of indicator solution and titrate with EDTA titrant to change

in colour from reddish tinge to blue. Select a sample volume that requires less than 15 mL

EDTA titrant and complete titration within 5 min after buffer addition.

b. Standardize the EDTA titrant against standard calcium solution using the above

procedure.

Calculation

Total Hardness (EDTA), mg CaCO /L =

Where:

A = mL EDTA titrated for sample

B = mg CaCO3 equivalent to 1.00 mL EDTA titrant

A x B x 1000

ml sample

55

4.2.3.11 Turbidity

Method: Nephelometric

Procedure

a. Calibrate nephelometer according to manufacturer‘s operating instructions. Run at least

one standard in each instrument range to be used.

b. Gently agitate sample. Wait until air bubbles disappear and pour sample into cell. Read

turbidity directly from instrument display.

4.2.3.12 Electric conductivity

The electric conductivity (EC) was measured by electric conductivity meter. The

instrument was calibrated with potassium chloride solution and set up at zero scale with

reference solution. The unit of measurement was Microohms/Cm (Ms/Cm).

4.2.3.13 pH value:

Field pH meter electrode was washed with distilled water, dried with soft tissue, calibrated,

washed again with distilled water and dried prior to immersing the electrode in the sample.

Samples were stirred gently. Stable readings were recorded.

4.2.3.14 Temperature

Method: Mercury Thermometer

The temperature of the water was measured immediatly at place of samples collection .

Procedure

a. Immerse thermometer in the sample up-to the mark specified by the manufacturer and

read temperature after equilibration.

b. When a temperature profile at a number of different depths is required a thermistor with

a sufficiently long lead may be used.

56

5. Results

This study was conducted to investigate the validity of physico-chemical and microbial

contamination of water used in the manufacture of food and beverages in the food factories

in Gaza city. This study was conducted on 90 water samples that collected from different

factories overall Gaza city. The investigation was during the month of August and

December 2011. Food factories were divided into five categories of food factories

including juices and carbonated beverages factories, bakery factories, ice cream factories,

oriental sweets factories, and finally cake and pytefor factories. From each category, 18

water samples were collected and assessed for its physico-chemical and microbiological

properties as shown in Figure 1.\

Figure (1): Water samples according to categories of food factories.

5.1 Microbiological analysis.

All collected water samples that obtained from these food factories under this study in

Gaza city were examined and assessed for the microbiological parameters such as aerobic

total plate count, total coliform, fecal coliform, tecal streptococci, Pseudomonas

aeruginosa, and fungi (molds and yeast). Details of results in this regard were presented in

the coming Tables (5-9) and Figures (2-8).

57

5.1.1 Microbiological analysis of water samples that collected from juices and

carbonated beverages factories

Results in Table (5) show that aerobic total plate count bacteria (TPC) were positive for

all samples tested and the count of colonies ranged from 5 to 340 CFU/ml. Total Coliform

(TC) was positive in 16 samples from 18 which represented (88.8%) of the total samples.

Fecal Coliform ( FC) was positive in 15 samples from 18 that represented (83.3%) of the

total samples. Fecal Streptococci (FS) was positive in only 7 samples from 18 which

represented (38.8%) of the total samples. However and unexpectedly Pseudomonas

aeruginosa was positive in 15 samples out of 18, which represented (83.3%) of the total

samples. Molds were positive in 5 samples from 18 that represented (27.7%) of the total

samples. Yeasts were positive in 3 samples from 18 that represented (16.7%) of the total

samples. Tese result, inclicated that most of water samples that collected from this factories

category were contaminated with different pathogen indicators, especially fecal coliform

bacteria and Pseudomonas aeruginosa (83.3% for each).

Table (5): Microbiological assessment of water samples collected from Juices and carbonated

beverages factories

No. Test CFU Sample

Total Min-Max Positive %

1 TPC 5-340 18 100 18

2 TC 20-200 16 88.8 18

3 FC 2-50 15 83.3 18

4 FS 2-11 7 38.8 18

5 PS 3-15 15 83.3 18

6 Mold 1-3 5 27.7 18

7 Yeast 10-26 3 16.7 18

TPC= Total Plate Count CFU/1 ml, FS= Fecal Streptococci CF/100 ml

TC= Total Coliform CFU/100 ml, FC= Fecal Coliform CFU/100 ml

PS= Pseudomonas aeruginosa CFU/200 ml, CFU= colony forming unit

58

5.1.2 Microbiological analysis of ice cream factories

Results in Table (6) showed that aerobic total plate count (TPC) were found in 15 samples

from 18, which represented (83.3%) of the total samples. Number of colonies were ranged

from 2 to 110 CFU/ml. Total coliform (TC) was positive in 14 samples from 18 that

represented (77.7%) of the total samples. Fecal coliform ( FC) was positive in 12 samples

from 18, which represented (66.6%) of the total samples. Fecal streptococci (FS) was

positive in only half of tested water samples (9 samples), out of 18 which represented

(50%) of the total samples. Meanwhile, Pseudomonas aeruginosa was positive in 10

samples from 18 that represented (55.5%) of the total samples. Mold was positive in only

2 samples from 18, which represented (11.1%) of the total samples. However, Yeast was

positive in 6 samples from 18 that represented (33.4%) of the total samples.

Table (6): Microbiological assessment of water samples collected from ice cream factories

No. Test CFU Sample

Total sample Min-Max Positive %

1 TPC 2-110 15 83.3 18

2 TC 4-215 14 77.7 18

3 FC 1-85 12 66.6 18

4 FS 1-125 9 50 18

5 PS 5-70 10 55.5 18

6 Mold 1-2 2 11.1 18

7 Yeast 5-40 6 33.4 18

TPC= Total Plate Count CFU/1 ml, FS= Fecal Streptococci CF/100 ml

TC= Total Coliform CFU/100 ml, FC= Fecal Coliform CFU/100 ml

PS= Pseudomonas aeruginosa CFU/200 ml, CFU= colony forming unit

59

5.1.3 Microbiological analysis of bakery factories.

Results in Table (7) showed that aerobic total plate count (TPC) was positive in 11

samples from 18, which represented (61.1%) of the total samples in a range of 1 to 120

CFU/ml. Total coliform (TC) was positive in 11 samples from 18 that represented (61.1%)

of the total samples. Fecal coliform ( FC) was positive in 9 samples out of 18. which

represented (50%) of the total samples. Fecal streptococci (FS) was positive in 8 samples

from 18 represented (44.4%) of the total samples. Pseudomonas aeruginosa was positive

in 7 samples from 18 that represented (38.9%) of the total samples. Mold was positive in

only 2 samples from 18 samples, which represented (11.1%) of the total samples. Also,

yeast was positive in 2 samples from the all tested water samples (18), which represented

(11.1%) of the total samples.

Table (7): Microbiological assessment of water samples collected from bakery factories.

No. Test CFU Sample

Total Min-Max Positive %

1 TPC 1-120 11 61.1 18

2 TC 5-130 11 61.1 18

3 FC 1-70 9 50 18

4 FS 1-50 8 44.4 18

5 PS 2-30 7 38.9 18

6 Mold 8-11 2 11.1 18

7 Yeast 10-15 2 11.1 18

TPC= Total Plate Count CFU/1 ml, FS= Fecal Streptococci CF/100 ml

TC= Total Coliform CFU/100 ml, FC= Fecal Coliform CFU/100 ml

PS= Pseudomonas aeruginosa CFU/200 ml, CFU= colony forming unit

60

5.1.4 Microbiological analysis of oriental sweets factories.

Results in table (8) showed that aerobic total plate count (TPC) were found in 15 samples

from 18 which represented (83.3%) of the total samples. Total coliform (TC) was

positive in 14 samples from 18 that represented (77.7%) of the total samples. However,

fecal coliform (FC) was positive in 7 samples out of 18 which represented (38.9%) of the

total samples. Meanwhile, Fecal streptococci (FS) was positive in only 5 samples out of 18

which account for (27.7%) of the total samples. Pseudomonas aeruginosa was positive in

12 samples from 18 that represented (66.6%) of the total samples. Molds were not isolated

from any tested sample (0.0%) and finally yeast were isolated from 3 samples out of 18

which account for (16.7%) of the total samples.

Table (8): Microbiological assessment of water samples collected from oriental sweets

factories.

No. Test

CFU Sample

Total

Min-Max Positive %

1 TPC 5-275 15 83.3 18

2 TC 5-390 14 77.7 18

3 FC 2-80 7 38.9 18

4 FS 2-50 5 27.7 18

5 PS 5-60 12 66.6 18

6 Mold -- 00 00 18

7 Yeast 5-10 3 16.7 18

TPC= Total Plate Count CFU/1 ml, FS= Fecal Streptococci CF/100 ml

TC= Total Coliform CFU/100 ml, FC= Fecal Coliform CFU/100 ml

PS= Pseudomonas aeruginosa CFU/200 ml, CFU= colony forming unit

61

5.1.5 Microbiological analysis of cake and pytefor factories.

Results in table (9) showed the microbiological assessment of water samples that used in

cake factories. The total plate count (TPC) were found in 17 samples from 18 which

represented (94.4%) of the total samples. Total coliform (TC) bacteria was positive in 15

samples from 18 which represented (83.3%) of the total samples. Fecal coliform ( FC)

was positive in 12 samples from 18 represented (66.6%) of the total samples. So far, Fecal

streptococci (FS) was positive in 9 samples from 18 which represented (50%) of the total

samples. Pseudomonas aeruginosa was positive in 12 samples out of 18 which represented

(66.6%) of the total samples. Both molds and yeast were isolated from 8 samples out of 18

which represented (44.4%) of the total tested samples.

Table (9): Microbiological assessment of water samples collected from Cake and pytefor

factories .

No. Test CFU Sample

Total Min-Max Positive %

1 TPC 5-590 17 94.4 18

2 TC 5-280 15 83.3 18

3 FC 2-100 12 66.6 18

4 FS 4-35 9 50 18

5 PS 1-30 12 66.6 18

6 Mold 1-4 8 44.4 18

7 Yeast 5-35 8 44.4 18

TPC= Total Plate Count CFU/1 ml, FS= Fecal Streptococci CF/100 ml

TC= Total Coliform CFU/100 ml, FC= Fecal Coliform CFU/100 ml

PS= Pseudomonas aeruginosa CFU/200 ml, CFU= colony forming unit

62

Figure (2): Percentage of Total Plate Count (TPC) in water sample collected from Gaza

factories.

Figure (2) represented the percentage of positive samples from different factories that grown

bacteria. Juices and carbonated beverages factories had the highest percentage of positive

water which reach 100%. However, the lowest one was bakery factories.

Figure 3 showed the presence of total coliform bacteria, which used as a test organism for

contamination and quality of used water, in tested water samples from different factories. As

clear in the figure, juices and carbonated beverages factories had the highest percentage of

positive water which reach 88.8%. Nevertheless, the lowest one was bakery factories with

percentage reached 61.1%.

Juices andcarbonatedbeverages

Ice creamBakeryOrientalsweets

Cake andpytefor or

100%

83.3%

61.1%

83.3%

94.4%

TPC

63

Figure (3): Percentage contamination of TC in water sample collected from Gaza factories

Figure 4 showed the percentage of fecal coliform contamination. Again, the juices and

beverages factories represented the highest contamination water samples (83.3%) but the

lowest FC contamination (38.9%) was found in oriental sweets factories.

Figure (4): Percentage Contamination of FC in water sample collected from Gaza factories.

Juices andcarbonatedbeverages

Ice creamBakeryOriental sweetsCake andpytefor

88.8%

77.7%

61.1%

77.7% 83.3%

TC

Juices andcarbonatedbeverages

Ice creamBakeryOriental sweetsCake andpytefor

83.3%

66.6%

50%

38.9%

66.6%

FC

64

Figure (5): Percentage contamination of FS in water sample collected from Gaza factories.

Figure 5 represented the presence and percentage of fecal streptococci in water samples that

tested from different factories included in this study. Both Juices and carbonated beverages,

and cake and pytefor factories had the highest presence and of FS bacteria in water which

reach 50%. However, the lowest one was oriental sweet factories with percentage reach

27.7%. Surprisingly all factories classes showed contamination of part of water that used in

these factories with FS bacteria and this is not good indication (Fig. 5).

Juices andcarbonatedbeverages

Ice creamBakeryOriental sweetsCake andpytefor

38.8%

50%

44.4%

27.7%

50%

FS

65

Figure (6): Percentage contamination of PS in water samples collected from Gaza factories.

Figure (7):Percentage contamination of mold in water samples collected from Gaza factories.

Figure 6 showed the presence and percentage of Pseudomonas aeruginosa, which used as a

test organism for contamination and quality of used water, in tested water samples from

different factories. As clear in this figure, juices and carbonated beverages factories again had

the highest percentage of contaminated water samples with PS which reach 83.3%.

Juices andcarbonatedbeverages

Ice creamBakeryOrientalsweets

Cake andpytefor

83.3%

55.5%

38.9%

66.6% 66.6%

PS

Juices andcarbonatedbeverages

Ice creamBakeryCake and pytefor

27.7%

11.1% 11.1%

44.4%

Mold

66

Nevertheless, the lowest one was also again bakery factories with percentage reached 38.9%.

Generally, all factories classes showed presence of PS in water used in these factories but with

different percentage of contamination (Fig. 6).

In figure 7 we presented the presence of molds in tested water samples from all factories

classes. As shown in the figure, cake and pytefor had the highest prevalence of mold

contaminated water with a percentage of 44.4%, followed by juices and carbonated beverages

factories which had a percentage of positive water with mold reach 27.7%. Nevertheless, the

lowest one was bakery and ice cream factories with a percentage reached 11.1%.

Interestingly, all water samples that collected from oriental sweet factories were tested

negative for presence of molds.

Figure (8):Percentage contamination of yeast in water samples collected from Gaza factories.

In figure 8 we presented the presence of yeast in tested water samples from all factories

classes. As shown in this figure, all factories had contaminated water with yeast. Cake and

pytefor had the highest prevalence of yeast contaminated water with a percentage of 44.4%,

followed by ice cream factories (33.4%), then the juices and carbonated beverages factories

and oriental sweet factories which had a percentage of positive water with mold reach 16.7%.

Nevertheless, the lowest one was bakery factories with a percentage reached 11.1%.

Juices andcarbonatedbeverages

Ice creamBakeryOriental sweetsCake andpytefor

16.7%

33.4%

11.1%

16.7%

44.4%

Yeast

67

5.1.6 Microbial contamination of water samples that collected from all five group

factories.

Results in Table 10 and figure 9 showed the overall contamination of water samples with

different bacterial indicators and also the total plate count of aerobic bacteria.

Table (10): Microbial contamination in water of all five group factories.

No. Test done All factories CFU Total samples

+ve % Min-Max

1 TPC 76 84.4 1-590 90

2 TC 70 77.7 4-390 90

3 FC 55 61.1 1-100 90

4 FS 38 42.2 1-125 90

5 PS 56 62.2 1-70 90

6 Mold 17 18.8 0-11 90

7 Yeast 22 24.4 5-40 90

TPC= Total Plate Count CFU/1 ml, FS= Fecal Streptococci CF/100 ml

TC= Total Coliform CFU/100 ml, FC= Fecal Coliform CFU/100 ml

PS= Pseudomonas aeruginosa CFU/200 ml, CFU= colony forming unit

68

Figure (9):Percentage contamination in all water samples that collected from Gaza

factories.

The TPC was found in 76 samples out of 90 which represented (84.4%) of the total

samples tested. Total coliform (TC) was positive in 70 samples out of tested 90 water

sample which represented (77.7%) of the total samples. Fecal coliform ( FC) was positive

in 55 samples with percentage of (61.1%) of the total samples. Fecal streptococci (FS) was

positive in 38 samples with percentage of (42.2%) of the total samples. Pseudomonas

aeruginosa was positive in 56 out of 90 that represented (62.2%) of the total samples.

Mold was positive in 17 samples and this represented (18.8%) of the total tested samples.

Finally, yeast was positive in 22 samples which represented (24.4%) of the total samples.

5.2 Physicochemical analysis

All the tested collected samples obtained from the food factories in Gaza were

examined for the physicochemical prameters such as Temperature, Electrical

Conductivity, Turbidity, pH according , Total dissolved solids, Nitrite, Nitrate ,Chloride,

Calcium, Magnesium, Potassium, Sodium, Hardness, and Biological Oxygen

Demand(BOD) . see tables (11-15) and figures (10-22).

TPC;76 ( 84.4%)

TC;70 ( 77.7%)

FC;55 ( 61.1)%

FS; 38 (42.2%)

PS; 56 (62.2%)

Mold;17 (18.8%)

Yeast;22 (24.4%)

69

5.2.1 Physicochemical analysis of water samples from juices and carbonated

beverages factories.

Results in Table (11) showed that average TDS was of 135.03mg/l for all samples.

Average Chloride was of 59.7 mg/l for all samples. Average calcium was of 2.33 mg/l for

all samples. Average sodium was of 32.56 mg/l for all samples. Average magnesium was

of 1.09 mg/l for all samples. Average potassium was of 1.12 mg/l for all samples. Average

nitrite was of 0.00 mg/l for all samples. Average nitrates was of 10.46 mg/l for all samples.

BOD was the outcome average 1.15 mg/l for all samples . Average HN was of 11.78 mg/l

for all samples. Average measurement of turbidity was of 0.22 NTU for all samples.

Average measurement of electrical conductivity was of 218.09 μs/cm for all samples.

Average measurement of pH was of 6.41 pH. The temperature was registered by Alturmo

Lemaitre average of 26.55 °C degrees per samples.

Table (11) : Average of physicochemical parameters at at water from Juices and carbonated

beverages factories.

No Parameter

s

Average

Sample

factories

(1)

Average

Sample

factories

(2)

Average

Sample

factories

(3)

Average

Sample

factories

(4)

Average

Sample

factories

(5)

Average

Sample

factories

(6)

Average

all

Sample

factories

1 TDS.mg/l 282.33 86.33 66.17 102.00 225.33 48 135.03

2 Cl.mg/l 97.87 42.93 42.57 42.94 101.4 27.31 59.17

3 Ca.mg/l 3.07 1.57 2.36 3.87 1.57 1.53 2.33

4 Na.mg/l 75.67 24.33 7.67 19.67 64.33 3.67 32.56

5 Mg.mg/l 1.92 0.03 0.03 1.41 2.73 0.42 1.09

6 K .mg/l 0.53 0.13 0.23 0.37 2.47 2.97 1.12

7 NO2.mg/l 0.00 0.00 0.00 0.00 0.00 0.00 0.00

8 NO3.mg/l 13.17 11.27 9.53 17.33 5.33 6.10 10.46

9 BOD.mg/l 1.10 0.27 0.17 1.47 3.87 0.03 1.15

10 HN.mg/l 17 6.53 8.67 16.00 16.67 5.83 11.78

11 T. NTU 0.25 0.18 0.15 0.36 0.19 0.21 0.22

12 EC. μs/cm 461.33 142.7 105.9 162.67 358.33 77.6 218.09

13 pH 7.15 6.51 6.52 6.61 5.92 5.77 6.41

14 Temp 25 25.03 26.9 29.67 27.03 25.67 26.55

TDS= Total dissolved solids EC= Electrical conductivity

T= Turbidity HN = Hardness

BOD= Biological Oxygen Demand TEMP= Temperatu

70

5.2.2 Physicochemical analysis of water samples from ice cream factories.

Results in table (12) showed that average TDS was of 517.10mg/l for all samples.

Average Chloride was of 218.08 mg/l for all samples. Average calcium was of 17.67mg/l

for all samples. Average sodium was of 42.33mg/l for all samples. Average magnesium

was of 24.06 mg/l for all samples. Average potassium was of 0.67mg/l for all samples.

Average nitrite was of 0.13mg/l for all samples. Average nitrates was of 40.76 mg/l for all

samples. BOD was the outcome average 0.77mg/l for all samples . Average HN was of

146.39mg/l for all samples. Average measurement of turbidity was of 0.36 NTU for all

samples. Average measurement of electrical conductivity was of 839.36μs/cm for all

samples. Average measurement of pH was of 6.90 pH. The temperature was registered by

Alturmo Lemaitre average of 27.39 °C degrees per samples

Table (12) : Average of physicochemical parameters at water from ice cream factories

No Parameter

s

Average

Sample

factories

(1)

Average

Sample

factories

(2)

Average

Sample

factories

(3)

Average

Sample

factories

(4)

Average

Sample

factories

(5)

Average

Sample

factories

(6)

Average

all

Sample

factories

1 TDS.mg/l 923.67 1876 88.73 78.67 101.23 34.27 517.10

2 Cl.mg/l 263.00 909.3 32.67 40.70 35.14 27.67 218.08

3 Ca.mg/l 44.93 53.33 0.73 3.13 2.27 1.60 17.67

4 Na.mg/l 103 79.67 28 19.33 23 1 42.33

5 Mg.mg/l 44.57 96.00 0.03 2.33 0.96 0.44 24.06

6 K .mg/l 0.77 1.43 0.73 0.57 0.44 0.1 0.67

7 NO2.mg/l 0.13 0.55 0.02 0.00 0.00 0.05 0.13

8 NO3.mg/l 87.47 119 13.10 8.33 12.33 4.33 40.76

9 BOD.mg/l 0.00 0.00 1.27 1.93 0.13 1.27 0.77

10 HN.mg/l 305.33 538.67 2.33 17.00 9.33 5.67 146.39

11 T. NTU 0.15 0.41 0.21 0.20 0.40 0.79 0.36

12 EC. μs/cm 1512.33 3036.6 145.53 124.20 161.90 55.57 839.36

13 pH 8.41 8.01 6.31 6.52 6.12 6.03 6.90

14 Temp 25.83 27.00 31 27.67 27.00 25.83 27.39

TDS= Total dissolved solids EC= Electrical conductivity

T= Turbidity HN = Hardness

BOD= Biological Oxygen Demand TEMP= Temperature

71

5.2.3 physicochemical analysis of water samples from bakery factories

Results in table (13) showed that average TDS was of 2104.50 mg/l for all samples.

Average Chloride was of 1042.82 mg/l for all samples. Average calcium was of 142.75

mg/l for all samples. Average sodium was of 400.44 mg/l for all samples. Average

magnesium was of 81.91 mg/l for all samples. Average potassium was of 3.54 mg/l for all

samples. Average nitrite was of 0.61 mg/l for all samples. Average nitrates was of 125.17

mg/l for all samples. BOD was the outcome average 0.19 mg/l for all samples . Average

HN was of 708.89 mg/l for all samples. Average measurement of turbidity was of 0.27

NTU for all samples. Average measurement of electrical conductivity was of 3438.50

μs/cm for all samples. Average measurement of pH was of 7.45 pH. The temperature was

registered by Alturmo Lemaitre average of 29.18 °C degrees per samples

Table (13): Average of physicochemical parameters at at water from bakery factories

No Parameter

s

Average

Sample

factories

(1)

Average

Sample

factories

(2)

Average

Sample

factories

(3)

Average

Sample

factories

(4)

Average

Sample

factories

(5)

Average

Sample

factories

(6)

Average

all

Sample

factories

1 TDS.mg/l 2128.33

2605.33

1245.67

3124.33

2293.67

1229.67

2104.50

2 Cl.mg/l 928.67 596.50 410 1403.33

1048.00

1870.43

1042.82 3 Ca.mg/l 101.67 149.67 88.17 161.00 222.67 133.33 142.75

4 Na.mg/l 276.33 457 263.67 719.33 429.33 257.00 400.44

5 Mg.mg/l 80.37 81.77 49.97 138.8 109 31.57 81.91

6 K .mg/l 1.43 15.67 1.67 1.47 0.47 0.53 3.54

7 NO2.mg/l 0.66 0.91 0.47 0.92 0.40 0.27 0.61

8 NO3.mg/l 139.00 127.67 116.67 116.33 152.67 98.67 125.17

9 BOD.mg/l 0.00 0.87 0.00 0.00 0.00 0.27 0.19

10 HN.mg/l 595.33 719 443.33 993 1044 458.67 708.89

11 T. NTU 0.25 0.26 0.25 0.30 0.23 0.33 0.27

12 EC. μs/cm 3456.33

4222 2034 5078.67

3816 2024 3438.50 13 pH 7.67 7.43 7.39 7.51 7.34 7.36 7.45

14 Temp 26.8 30.53 28.77 31 29 29 29.18

TDS= Total dissolved solids EC= Electrical conductivity

T= Turbidity HN = Hardness

BOD= Biological Oxygen Demand TEMP= Temperature

72

5.2.4 Physicochemical analysis of water samples from oriental sweets factories.

Results in table (14) showed that average TDS was of 731.03 mg/l for all samples.

Average Chloride was of 355.29 mg/l for all samples. Average calcium was of 35.52 mg/l

for all samples. Average sodium was of 98.11 mg/l for all samples. Average magnesium

was of 28.37 mg/l for all samples. Average potassium was of 0.61 mg/l for all samples.

Average nitrite was of 0.22 mg/l for all samples. Average nitrates was of 43.69 mg/l for all

samples. BOD was the outcome average 1.49 mg/l for all samples . Average HN was of

209.46 mg/l for all samples. Average measurement of turbidity was of 0.30 NTU for all

samples. Average measurement of electrical conductivity was of 1067.74 μs/cm for all

samples. Average measurement of pH was of 6.98 pH. The temperature was registered by

Alturmo Lemaitre average of 28.86 °C degrees per samples

Table (14) : Average of physicochemical parameters at water from Oriental sweets factories

No Parameter

s

Average

Sample

factories

(1)

Average

Sample

factories

(2)

Average

Sample

factories

(3)

Average

Sample

factories

(4)

Average

Sample

factories

(5)

Average

Sample

factories

(6)

Average

all

Sample

factories

1 TDS.mg/l 68.7 2946.33 120.80 1045.00 127.37 77.97 731.03

2 Cl.mg/l 27.03 1597.33 64.15 337.33 70.32 35.60 355.29

3 Ca.mg/l 3 132.87 1.63 69.50 1.57 4.53 35.52

4 Na.mg/l 4.9 301.33 38.10 195.00 39.67 9.67 98.11

5 Mg.mg/l 2.37 118.7 1.83 45.43 0.00 1.90 28.37

6 K .mg/l 0.37 1.67 0.30 0.77 0.27 0.27 0.61

7 NO2.mg/l 0.00 1.17 0.00 0.15 0.00 0.02 0.22

8 NO3.mg/l 9.6 136 12.8 82. 13 8.73 43.69

9 BOD.mg/l 0.17 0.00 2.47 0.17 1.87 4.23 1.49

10 HN.mg/l 17.10 837.33 12.00 366.33 4.33 19.67 209.46

11 T. NTU 0.15 0.46 0.13 0.13 0.25 0.68 0.30

12 EC. μs/cm 111.93 4072.33 193.37 1702.00 200.33 126.50 1067.74

13 pH 6.66 7.93 7.11 7.72 6.28 6.17 6.98

14 Temp 25 29 30 29.13 30 30 28.86

TDS= Total dissolved solids EC= Electrical conductivity

T= Turbidity HN = Hardness

BOD= Biological Oxygen Demand TEMP= Temperature

73

5.2.5 Physicochemical analysis of water samples from cake and pytefor factories.

Results in table (15) showed that average TDS was of 640.80 mg/l for all samples.

Average chloride was of 265.21 mg/l for all samples. Average calcium was of 44.02 mg/l

for all samples . Average sodium was of 122.03 mg/l for all samples. Average magnesium

was of 21.99 mg/l for all samples. Average potassium was of 1.28 mg/l for all samples.

Average nitrite was of 0.18 mg/l for all samples. Average nitrates was of 59.85 mg/l for all

samples. BOD was the outcome average 2.77 mg/l for all samples . Average HN was of

203.06 mg/l for all samples. Average measurement of turbidity was of 0.26 NTU for all

samples. Average measurement of electrical conductivity was of 1032.80 μs/cm for all

samples. Average measurement of pH was of 7.05 pH. The temperature was registered by

Alturmo Lemaitre average of 29.33 °C degrees per samples

Table (15): Average of physicochemical parameters at water from Cake and pytefor

factories

No Parameter

s

Average

Sample

factories

(1)

Average

Sample

factories

(2)

Average

Sample

factories

(3)

Average

Sample

factories

(4)

Average

Sample

factories

(5)

Average

Sample

factories

(6)

Average

all

Sample

factories

1 TDS.mg/l 2013.3 77.8 120.13 46.2 1504 83.37 640.80

2 Cl.mg/l 906.67 35.58 56.77 26.33 530.67 35.23 265.21

3 Ca.mg/l 72.27 6.43 7.33 1.57 171.93 4.57 44.02

4 Na.mg/l 377.67 7.67 21.00 9.67 315.33 0.83 122.03

5 Mg.mg/l 81.2 2.77 3.15 0.00 42.50 2.30 21.99

6 K .mg/l 1.78 1.57 1.37 0.10 1.67 1.17 1.28

7 NO2.mg/l 0.62 0.00 0.00 0.00 0.33 0.11 0.18

8 NO3.mg/l 157.00 9.67 5.93 8.19 164 14.33 59.85

9 BOD.mg/l 0.57 4.73 3.60 0.00 2.63 5.07 2.77

10 HN.mg/l 527.67 26.33 33.67 3.67 605.33 21.67 203.06

11 T. NTU 0.42 0.29 0.26 0.10 0.31 0.18 0.26

12 EC. μs/cm 3263.3

3

123.17 197.67 75.33 2405.3

3

131.97 1032.80

13 pH 7.80 7.15 6.93 6.30 7.34 6.76 7.05

14 Temp 29 30 28 31 30 28 29.33

TDS= Total dissolved solids EC= Electrical conductivity

T= Turbidity HN = Hardness

BOD= Biological Oxygen Demand TEMP= Temperature

74

5.2.6 Average physicochemical analysis of water samples from five group factories .

Showed that table (15) average TDS was of 825.69mg/l for all samples of five group

factories. Average chloride was of 388.11mg/l for all samples of five group factories.

Average calcium was of 48.46 mg/l for all samples of five group factories . Average

sodium was of 139.09mg/l for all samples of five group factories. Average magnesium

was of 31.48 mg/l for all samples of five group factories. Average potassium was of

1.44mg/l for all sample of five group factories s. Average nitrite was of 0.23mg/l for all

samples of five group factories. Nitrates was average Average nitrates was of 55.99 mg/l

for all samples of five group factories. BOD was the outcome average 1.27mg/l for all

samples of five group factories . Average HN was of 255.92mg/l for all samples of five

group factories. Average measurement of turbidity was of 0.28 NTU for all samples of

five group factories. Average measurement of electrical conductivity was of 1319.30μs/cm

for all samples of five group factories. Average measurement of pH was of 6.96 pH for all

samples of five group factories. The temperature was registeredby Alturmo Lemaitre

average of 28.26 °C degrees per samples of five group factories.

Table (16): Average physicochemical parameters for five group factories

TDS= Total dissolved solids EC= Electrical conductivity

T= Turbidity HN = Hardness

BOD= Biological Oxygen Demand TEMP= Temperature

No analysis

juices and

carbonated

beverages

Ice cream

factories

bakery

factories

oriental

sweets

factories

cake and

pytefor

factories

all

factories

1 TDS.mg/l 135.03 517.10 2104.50 731.03 640.80 825.69

2 Cl.mg/l 59.17 218.08 1042.82 355.29 265.21 388.11

3 Ca.mg/l 2.33 17.67 142.75 35.52 44.02 48.46

4 Na.mg/l 32.56 42.33 400.44 98.11 122.03 139.09

5 Mg.mg/l 1.09 24.06 81.91 28.37 21.99 31.48

6 K .mg/l 1.12 0.67 3.54 0.61 1.28 1.44

7 NO2.mg/l 0.00 0.13 0.61 0.22 0.18 0.23

8 NO3.mg/l 10.46 40.76 125.17 43.69 59.85 55.99

9 BOD.mg/l 1.15 0.77 0.19 1.49 2.77 1.27

10 HN.mg/l 11.78 146.39 708.89 209.46 203.06 255.92

11 T. NTU 0.22 0.36 0.27 0.30 0.26 0.28

12 EC. μs/cm 218.09 839.36 3438.50 1067.74 1032.80 1319.30

13 pH 6.41 6.90 7.45 6.98 7.05 6.96

14 Temp 26.55 27.39 29.18 28.86 29.33 28.26

75

Figure (10): Total Dissolved Solids in water all sample collected from Gaza factories.

In figure (10). showed that highest mean concentration of Mg was (2104.5mg/l) at bakery

factories, while the lowest mean concentration was (135.03mg/l) at juices and carbonated

beverages factories.

Figure (11): Chloride in water all sample collected from Gaza factories.

Juices andcarbonatedbeverages

Ice cream Bakery Orientalsweets

Cake andpytefor

135.03

517.1

2104.5

731.03 640.8

TDS

TDS mg/l

Juices andcarbonatedbeverages

Ice cream Bakery Orientalsweets

Cake andpytefor

59.17

218.08

1042.82

355.29 265.21

Cl

CL mg/l

76

Figure(11). showed that highest mean concentration of Cl was (1042.82mg/l) at bakery

factories, while the lowest mean concentration was (2.33mg/l) at juices and carbonated

beverages factories.

Figure (12): Calcium in water all sample collected from Gaza factories.

Figure(12). showed that highest mean concentration of Ca was (142.75mg/l) at bakery

factories, while the lowest mean concentration was (2.33mg/l) at juices and carbonated

beverages factories.

Juices andcarbonatedbeverages

Ice cream Bakery Orientalsweets

Cake andpytefor

2.33 17.67

142.75

35.52

44.02

Ca

Ca mg/l

77

Figure (13): Sodium in water all sample collected from Gaza factories.

Figure( 13). showed that highest mean concentration of Na was (400.44 mg/l) at bakery

factories, while the lowest mean concentration was (32.56 mg/l) at juices and carbonated

beverages factories.

Figure (14): Magnesium in water all sample collected from Gaza factories.

Juices andcarbonatedbeverages

Ice cream Bakery Orientalsweets

Cake andpytefor

32.56 42.33

400.44

98.11 122.03

Na

Na mg/l

Juices andcarbonatedbeverages

Ice cream Bakery Orientalsweets

Cake andpytefor

1.09

24.06

81.91

28.37 21.99

Mg

Mg mg/l

78

In figure (14). showed that highest mean concentration of Mg was (81.91mg/l) at bakery

factories, while the lowest mean concentration was (1.09mg/l) at juices and carbonated

beverages factories.

Figure (15): Potassium in water all sample collected from Gaza factories

In figure( 15). showed that highest mean concentration of K was (3.45mg/l) at bakery

factories, while the lowest mean concentration was (0.61mg/l) at oriental sweets factories

Figure (16): Nitrite in water all sample collected from Gaza factories.

Juices andcarbonatedbeverages

Ice cream Bakery Orientalsweets

Cake andpytefor

1.12

0.67

3.54

0.61

1.28

K

K mg/l

Ice cream Bakery Orientalsweets

Cake andpytefor

0.13

0.61

0.22 0.18

NO2

NO2 mg/l

79

showed the levels of nitrite in the tested water samples The highest mean concentration

of nitrate was (0.61mg/l) at bakery factories, while the lowest mean concentration was

(0.00mg/l) at juices and carbonated beverages factories.

Figure (17): Nitrate in water all sample collected from Gaza factories.

Showed the levels of nitrate in the tested water samples The highest mean concentration

of nitrate was (125.17mg/l) at bakery factories, while the lowest mean concentration was

(10.46mg/l) at juices and carbonated beverages factories.

Figure (18):Biological Oxygen Demand in water all sample collected from Gaza factories.

Juices andcarbonatedbeverages

Ice cream Bakery Orientalsweets

Cake andpytefor

10.46

40.76

125.17

43.69 59.85

NO3

NO3 mg/l

Juices andcarbonatedbeverages

Ice cream Bakery Orientalsweets

Cake andpytefor

1.15

0.77

0.19

1.49

2.77

BOD

BOD mg/l

80

Figure (18) showed the frequency of BOD5 .The highest mean concentration of BOD5

(2.77 mg/l) was detected at cake and pytefor factories factories, while the lowest mean

concentration (0.19 mg/l) was detected at bakery factories.

Figure (19): Hardness in water all sample collected from Gaza factories.

Figure ( 19) . The concentration of HN for the investigated water samples showed highest

mean level (708.89 mg/l) at bakery factories, while the lowest mean concentration (11.78

mg/l) was recorded at juices and carbonated beverages factories.

Juices andcarbonatedbeverages

Ice cream Bakery Orientalsweets

Cake andpytefor

11.78

146.39

708.89

209.46 203.06

HN

HN mg/l

81

Figure (20): Turbidity in water all sample collected from Gaza factories.

Figure (20) . The concentration of Turbidity for the investigated water samples showed

highest mean level (0.36 NTU) at ice cream factories, while the lowest mean

concentration (0.22 NTU) was recorded at juices and carbonated beverages factories.

Figure (21): Electric conductivity in water all sample collected from Gaza factories.

The highest mean value of EC (3438.5 sm/cm) was detected at bakery factories, while the

lowest mean value (218.09 sm/cm) was detected at juices and carbonated beverages

factories as represented in figure (21).

Juices andcarbonatedbeverages

Ice cream Bakery Orientalsweets

Cake andpytefor

0.22

0.36

0.27 0.3

0.26

T

T NTU

Juices andcarbonatedbeverages

Ice cream Bakery Orientalsweets

Cake andpytefor

218.09

839.36

3438.5

1067.74 1032.8

EC

EC micro…

82

Figure (22): pH value in water all sample collected from Gaza factories.

The frequency of the pH values represented in Figure (22) indicated that the highest mean

level of pH (7.45) was detected at bakery factories, while the lowest mean level pH (6.41)

was detected at juices and carbonated beverages factories.

Figure (23): Temperature in water all sample collected from Gaza factories.

The highest mean value of temperature (29.33 oC) was indicated at cake and pytefor

factories , while the lowest mean value (26.55oC) was at juices and carbonated beverages

factories.

Juices andcarbonatedbeverages

Ice cream Bakery Orientalsweets

Cake andpytefor

6.41

6.9

7.45

6.98 7.05

pH

pH

Juices andcarbonatedbeverages

Ice cream Bakery Orientalsweets

Cake andpytefor

26.55

27.39

29.18 28.86

29.33

Temp

Temp C

83

5.2.7 Questionnaire Regarding

Regarding the questionnaire results as shown in table 17, there are 13 factories used

desalinated water, 12 factories used municipality water and five of them used their own

water from private wells. We found that 16 factories used the same water for

manufacturing and cleaning. Twenty four of these factories were found to use storage tanks

and 6 have no any reservoir tanks. Out of these 24 tanks, 19 are plastic tanks and 5 are

stainless steel. Only 7 tanks were protected from direct sunlight where the rest (17) were

found to be exposed to the direct sunlight. Also, the employee cleaned the tanks once a

year only in 7 factories, where the rest 17 factories, the employee did not clean the tanks

during the year.

Table (17) : Analysis of the questionnaire.

Tank

Cleaning

exposed

to

sunlight

Tanks used for

water storage

use

storage

tanks

Type of water resource

used the

same water

for

manufacturi

ng and

cleaning

factories

no Yes No Yes Plastic Stainle

ss steel

no Yes desalin

ated

munici

pality

private

wells

no Yes

2 2 4 -- -- 4 2 4 2 -- 4 5 1

Juices and

carbonated

beverages

factories

3 2 1 4 5 -- 1 5 4 2 -- 4 2 ice cream

factories

5 -- -- 5 5 --

1 5 -- 5 1 -- 6

Bakery

factories

5 1 -- 6 5 1 -- 6 3

3

-- 3 3

Oriental

sweets

factories

2 2 2 2 4 -- 2 4 4 2 -

- 4 2

Cake and

pytefor

factories

17

7 7 17 19 5 6 24 13 12 5

16

14 No

To

tal

gru

op

70.8 29.2 29.2 70.8 79.2 20.8 20 80 43.3 40 16.7 53.3 46.7 %

84

6-Discussion

This study was conducted to investigate the validity of physico-chemical and

microbial contamination of water used in the manufacture of food and beverages in

the food factories in Gaza city.

6.1 Microbiological quality of used water

6.1.1 Total Plate Count

The aerobic total plate count bacteria (TPC) were found in 76 samples from 90, which

represented (84.4%) of the total samples. Number of colonies were ranged from 1 to 590

CFU/ml. Juices and carbonated beverages factories had the highest percentage of TPC

bacteria which reach 100%. However, the lowest one was bakery factories with percentage

of (61.1%).

In a study that performed to undertake a preliminary assessment of the groundwater

quality of the West Thrace in Turkish region, forty groundwater samples were

investigated. The maximum number of aerobic bacteria was 44 CFU/ml (Aydin, 2006).

Melad, (2002) in a study that investigated the groundwater wells in the Gaza Strip found

TPC in all tested wells and found the highest number of TPC colonies was 750 CFU / ml.

6.1.2 Total coliform

The total coliform was found in 70 samples out of 90 which represented (77.7%) of the

total samples tested. Also showed the presence of total coliform bacteria, which used as a

test organism for contamination and quality of used water, in tested water samples from

different factories. Juices and carbonated beverages factories had the highest percentage of

positive water which reach 83.3%. Nevertheless, the lowest one was bakery factories with

percentage reached 38.9%. Number of colonies were ranged from 4 to 390 CFU/100ml .

All the results were found in 70 samples, more than the allowable limit in Specified

standard for manufacturing water in Palestine. According to the Palestinian standards, only

limit of 3 CFU/100ml total coliform is allowed and accepted for water used in food

factories (Palestinian standard of drinking water, 2005). Also all the results were over than

the guidance and the limit of the World Health Organization (WHO, 2008)..

Our results seem to be consistent with the Shash et al., ( 2010) who found that the Total

and fecal coliforms were detected in Nile water at Greater Cairo in 100% of the tested

85

samples reaching 104 and 103 CFU/100 ml respectively. Also Tartory (2009) in a study

dealing with microbiological assessment of marketed drinking water in Gaza city found

that the most prevalent type of bacterial contamination was total coliforms. Twelve water

samples (60%) were contaminated with total coliforms range from (1-50 CFU/100ml) of

the desalination plant.

6.1.3 Fecal coliform

The Fecal coliform was found in 55 samples out of 90 which represented (61.1%) of

the total samples tested. The study showed the presence of fecal coliform bacteria, which

used as a test organism for contamination and quality of used water, in tested water

samples from different factories. Juices and carbonated beverages factories had the highest

percentage of positive water which reach 88.8%. Nevertheless, the lowest one was bakery

factories with percentage reached 61.1%. Number of colonies were ranged from 1 to 100

CFU/100ml .

All the results that were found in the 55 samples exceeded the Palestinian standard for

the presence of fecal coliform in water that used in food manufacturing plants in Palestine.

The Palestinian standards allow number 0 CFU/100ml of fecal coliform in water used for

food manufacturing purposes (Palestinian standard of drinking water, 2005). Also All the

results were over than the guidance of the World Health Organization(WHO, 2008).

Yassin el al. ( 2006) found in Gaza strip that the major finding showed that the

contamination level of total and fecal coliform exceeded that of the World Health

Organization limit for water wells and networks. Furthermore, the contamination

percentages in networks were higher than that in wells. In the other hand, Tartory, (2009)

in a study that conducted in Gaza city investigated the microbiological quality of drinking

water in Gaza and found that six samples (30%) were contaminated with fecal coliforms

and this contamination was range from 1 to 30 CFU/100ml of the water that collected from

the desalination plant under the study. Also, five sample (41.7%) out of 12 samples were

contaminated with fecal coliforms and the contamination rate was ranged from 1 to 20

CFU/100ml in the water that collected from the distribution cars. Giannoulis el al., (2000)

in their study in Northwestern Greece found that 36.8% of the source water samples was

found in conformity with WHO guidelines and the other samples did not meet the WHO

standards.

86

6.1.4 Fecal streptococci

The Fecal streptococci was found in 38 samples out of 90 which represented (42.2%)

of the total samples tested. The study showed a moderately high presence and percentage

of fecal streptococci in water samples that tested from different factories included in this

study. Both Juices and carbonated beverages, and Cake and pytefor factories had the

highest presence of FS bacteria in water which reach 50%. However, the lowest one was

oriental sweet factories with percentage reach 27.7%. Number of colonies were ranged

from 1 to 125 CFU/100ml. Surprisingly all factories classes showed contamination of part

of water that used in these factories with FS bacteria and this is not good indication.

The results that indicated here did not match the Palestinian standard which did not allow

any presence of FS in water sources that used in food industry. Also, these results were

over than the guidance of the World Health Organization (0 CFU/100ml) of Fecal

streptococci.

In a study that conducted by Melad, (2002), fecal streptococci were isolated from 6

wells during summer season, where the mean count recorded was (6 cfu/ml) in a study that

aimed to evaluate the ground water pollution with waste water microorganisms in Beth

Lahia, Gaza Strip (Melad, 2002). Also Al- Khatib, (2009) found that 4.8% of groundwater

samples were contaminated with Fecal streptococci in Groundwater (network-distributed)

in his study that aimed to investigate the microbiological quality of desalinated water,

groundwater and rain-fed cisterns in the Gaza strip, Palestine.

6.1.5 Pseudomonas aeruginosa

The Pseudomonas aeruginosa was found in 56 samples out of 90 which represented

(62.2%) of the total samples tested. Here we showed the presence and percentage of

Pseudomonas aeruginosa, which used as an indicator organism for contamination and

quality of used water, in tested water samples from different factories. Juices and

carbonated beverages factories again had the highest percentage of contaminated water

samples with Pseudomonas aeruginosa which reach 83.3%. Nevertheless, the lowest one

was also again bakery factories with percentage reached 38.9%. Number of colonies were

ranged from 1 to 70 CFU/200ml . Generally, all factories classes showed presence of

Pseudomonas aeruginosa in water used in these factories but with different percentage of

contamination. Abd El-Salam ( 2008) found in his study that 3.6% of examined bottled

water samples were contaminated by Pseudomonas aeruginosa.

87

Pseudomonas aeruginosa has been detected in 24.1% of the water samples of drinking

water from dispenser and possible control measures ( Baumgartner, 2006).

6.1.6 Mold and Yeast

The Mold was found in 17 samples out of 90 which represented (18.8%) of the total

samples tested. The results in the study showed of molds in tested water samples from four

factories classes. Cake and pytefor had the highest prevalence of mold contaminated water

with a percentage of 44.4%, followed by juices and carbonated beverages factories which

had a percentage of positive water with mold reach 27.7%. Nevertheless, the lowest one

was bakery and ice cream factories with a percentage reached 11.1%. Interestingly, all

water samples that collected from oriental sweet factories were tested negative for presence

of molds. Number of colonies were ranged from 1 to 11 CFU/100ml . The Yeast was

found in 22 samples out of 90 which represented (24.4%) of the total samples tested . The

Yeast was found in 22 samples out of 90 which represented (24.4%) of the total samples

tested . The results in the study showed of yeast in tested water samples from all factories

classes. All factories had contaminated water with yeast. Cake and pytefor had the highest

prevalence of yeast contaminated water with a percentage of 44.4%, followed by ice cream

factories (33.4%), then the juices and carbonated beverages factories and oriental sweet

factories which had a percentage of positive water with mold reach 16.7%. Nevertheless,

the lowest one was bakery factories with a percentage reached 11.1%. Number of colonies

were ranged from 5 to 40 CFU/100ml .

Represented the mold (18.8%) of the total samples tested and represented the yeast

(24.4%) of the total samples tested more than the allowable limit in specified standard for

manufacturing water in Palestine. The Palestinian standards indicate that any water used

for food industries purposed must be free of mold and yeast (Palestinian standard of

drinking water, 2005)

Convergent results were obtained in a study that performed by Tartory et al., (2009) in

the water collected from vending machine in a study that performed to evaluate the

microbiological situation of marketed drinking water in Gaza City, Palestine. The authors

found that five samples (25%) were contaminated with mold and the contamination level

was ranging between (1-10 CFU/100ml), and 4 samples (20%) were contaminated with

yeast with contamination level ranging between (1-50 CFU/100ml), Also 14 sample (56%)

out of 25 samples were contaminated with mold and the contamination was ranged from 1

88

to 20 CFU/100ml and 4 sample (16%) out of 25 samples were contaminated with Yeast

and range between (1-20 CFU/100ml).

Gottlich et al. (2002) indicated in their study that mold colonies were found in all of

the surface water samples that analyzed in Slovakia, while the ground water revealed only

40% positive samples.

Hageskal, (2006) in his study in Oslo found filamentous fungi in 62% of all tested

samples. In ground water samples, the percentage of mold contamination was 42.3%, while

surface waters yielded 69.7% positive samples.

6.2 Physicochemical quality of used water.

6.2.1 Total Dissolved Solids

The chemical analysis of TDS of water samples revealed high concentration in the

wate, highest mean concentration of TDS was (2104.5 mg/l) at bakery factories, while the

lowest mean concentration was (135.03 mg/l) at juices and carbonated beverages factories.

And the average concentration of TDS in the all water samples was (825.69mg/l) .

Some of the results of TDS recorded in the current study exceeded the permissible limit

in Specifier standard Palestine where allowed (1000 mg/l) only (Palestinian standard of

drinking water, 2005). also the guidance of the World Health Organization where allowed

(1000-1500 mg/l).

These results were nearly similar to that obtained by Baalousha,( 2008). In study Chemical

analysis of groundwater from 63 wells in the Gaza Strip found TDS between (3205 mg/l

to 330 mg/l) an average 1145 mg/l.

Al-Jamal and Al-Yaqubi, (2002).The total dissolved solids and Cl- used indicator of

groundwater salinity contamination in Gaza Strip and Nitrate was used as an indicator of

anthropogenic contamination of groundwater. High levels of Cl- and TDS in the

groundwater cause high salinity in the water supply.

In the study of Abu Mayla and Abu- Amr. ( 2010).that conducted on samples water

wells ,The average concentration of TDS for drinking water wells in Gaza Governorates

ranges 2709 mg/l Ghulman el al.,( 2008).The Saudi Arabian specification and

measurements Agency states that the optimum value for the total dissolved solids TDS is

500mg/l, and the maximum allowable value is 1500mg/l. Using this standard, all the

89

samples of the location around Makah were within the maximum allowable value of the

total dissolved solids. Also Sulieman el al., (2010) Found that TDS of Siebel water was in

the range of (115-137m g/L) which was in agreement with those of the Sudanese and

International standards.

Sheykhi and Moore , (2012).In study for the evaluation of the surface water quality

from 29 sampling points along the Kor River in Fars province South West Iran, they found

TDS between (4566–12632 mg/l) in all samples analyzed .

6.2.2 Chloride

The result showed that highest mean concentration of Cl was (1042.82mg/l) at bakery

factories, while the lowest mean concentration was (2.33mg/l) at juices and carbonated

beverages factories. The average concentration of Cl in the all water samples was

(388.11mg/l).

Some of the results of Cl recorded in the current study exceeded the permissible limit in

Palestine standard where allowed (250 mg/l) only (Palestinian standard of drinking water,

2005)..also the guidance of the World Health Organization where allowed (250 mg/l) only

.

These results were similar with study of El-Madhoun, (2002). In a study that evaluated

the quality of drinking water wells supplies residence of Gaza Strip for Chloride and

Nitrate concentrations during the period from 1990-2002, the authors found mean of Cl

concentration (397.1 mg/l).

Also in study of water quality in Gaza strip for the chloride concentration, the authors

found that the average of chloride in water was 381 mg/L (Metcalf and Eddy, 2000).

However, in another study of water quality of drinking wells in Gaza Strip, the authors

found 11% of the drinking water wells contain chloride concentration of less than 250 mg /

l (PWA, 2007).

6.2.3 Calcium

Showed that highest mean concentration of Ca was (142.75mg/l) at bakery factories,

while the lowest mean concentration was (2.33mg/l) at juices and carbonated beverages

factories. The average concentration of Ca in the all water samples was (48.46mg/l).

90

Some of the results of Ca recorded in the current study exceeded the permissible limit

in Specifier Palestine standard where allowed (100 mg/l) only (Palestinian standard of

drinking water, 2005).

These results were nearly similar to that obtained samples ranges from 0.6 mg/l to 14.5

mg/l . These above results were obtained from a study of water quality evaluation of small

scale desalination plants in the Gaza Strip, Palestine (Aish, 2011).

Gibrilla al el., (2011) found in study of seasonal evaluation of Raw, Treated and

distributed water quality from the Barekese Dam (River Off in) in the Ashanti Region of

Ghana, that the mean dry season Ca concentrations in the raw water is equal to 9.20mg/l.

6.2.4 Sodium

Showed that highest mean concentration of Na was (400.44 mg/l) at bakery factories,

while the lowest mean concentration was (32.56 mg/l) at Juices and carbonated beverages

factories. The average concentration of Na in the all water samples was (139.09mg/l).

Some of the results of Na l recorded in the current study exceeded the permissible limit

in Specifier Palestine standard and WHO where allowed (200 mg/l) only (Palestinian

standard of drinking water, 2005).

These results were nearly similar to that obtained In study of El-Salam canal is a

potential project reusing the Nile Delta drainage water for Sinai desert agriculture,

microbial and chemical water quality. Representative water samples were manually

collected during the seasons winter, spring, summer, and autumn of two successive years

(2003/2004 and 2004/2005), found Found Na between (75–294mg/l), in all samples

(Othman al el., 2012). Agrawal el al., (2011) found that the average of sodium in water

was 29.7 mg/L in Groundwater samples from Begusarai District, Bihar.

6.2.5 Magnesium

The results showed that highest mean concentration of Mg was (81.91mg/l) at bakery

factories, while the lowest mean concentration was (1.09mg/l) at juices and carbonated

beverages factories. The average concentration of Mg in the all water samples was

(31.48mg/l).

91

Some of the results of Mg l recorded in the current study exceeded the permissible limit

in Specifier standard Palestine Where allowed (0.5 mg/l) only (Palestinian standard of

drinking water, 2005)..also the guidance of the World Heal th Organization. Where

allowed (0.5 mg/l) only.

These results were nearly similar to that obtained Baalousha,( 2008). In study Chemical

analysis of groundwater from 63 wells in the Gaza Strip found Mg between( 21 mg/l to

0.75 mg/l) an average 3.9 mg/l.

In study of Groundwater resources in some parts of the lower section of the Shire River

valley, Malawi, Manganese exceeded 30 mg/l in 70% of the samples analyzed (Monjerezi

and Ngongondo, 2012).

6.2.6 Potassium

Our results showed that highest mean concentration of K was (3.45mg/l) at bakery

factories, while the lowest mean concentration was (0.61mg/l) at oriental sweets factories

The average concentration of K in the all water samples was (1.44mg/l).

Some of the results of K l recorded in the current study exceeded the permissible limit

in specifier Palestine standard which allowed (10 mg/l) only (Palestinian standard of

drinking water, 2005). And also the guidance of the World Heal th Organization. Which

allowed (0.5-5 mg/l) only.

These results were nearly similar to that obtained by Baalousha,( 2008). From groundwater

where 63 wells in the Gaza Strip found K found between( 21 mg/l to 0.75 mg/l) with an

average to 3.9 mg/l.

Drinking-water, with an upper 90th-percentile concentration of 5.2 mg/l. Data from

Canada indicate that average concentrations of potassium in raw and treated drinking water

in different areas vary between <1 and 8 mg/l. However, concentrations ranged up to 51

mg/l in Saskatchewan, which is the largest production area for potassium chloride in

Canada (Health Canada, 2008).

6.2.7 Nitrite And Nitrate

The study showed the different levels of nitrite in the tested water samples The highest

mean concentration of nitrate was (0.61mg/l) at bakery factories, while the lowest mean

92

concentration was (0.00mg/l) at juices and carbonated beverages factories. Also showed

the different levels of nitrate in the tested water samples The highest mean concentration

of nitrate was (125.17 mg/l) at bakery factories, while the lowest mean concentration was

(10.46mg/l) at juices and carbonated beverages factories The average concentration of

nitrate in the all water samples was (55.99mg/l) .

These results were nearly similar to that obtained Melad (2002) ) in a study that aimed

to evaluate the ground water pollution in Beth Lahia, Gaza Strip was mean of nitrite and

nitrate concentration in the some wells recorded (1.1 mg/l, 1.3 mg/l, 1.0 mg/l, 1.5 mg/l)for

nitrite and (57.3 mg/l, 60.3 mg/l, 65.2 mg/l, 72.4 mg/l)for nitrate .

Several studies in Gaza reported high nitrate nitrate levels in groundwater as one of the

major concerns among the public and governmental decision makers (Abu Maila et al.,

2004; Shomar, 2006).

Shomar (2008) .Found almost 90% of the groundwater wells of the Gaza Strip sampled

between 2001 and 2007 showed nitrate – concentrations two to eight times higher than the

WHO standards. In another study of water well in Gaza Strip, the authors found 11% of the

drinking water wells contain nitrate concentration of less than 50 mg / l (PWA, 2007).

Sheykhi and Moore. (2012).Evaluate the quality of surface water from 29 sampling

points along the Kor River in Fars province South West Iran, the authors found nitrate

between (15–1421 mg/l ) in all samples that have been analyzed..

Abu Mayla and Abu- Amr. ( 2010).Reported that average concentration of nitrate for

drinking water wells in Gaza strip was 139 mg/l.

Most chemicals arising in drinking water are of health concern only after extended

exposure of years, rather than months. The principal exception is nitrate. Typically,

changes in water quality occur progressively, except for those substances that are

discharged or leach intermittently to flowing surface waters or groundwater supplies from,

for example, contaminated landfill sites (WHO, 2011).

6.2.8 Biological oxygen demand

Showed the frequency of BOD5 .The highest mean concentration of BOD5 (2.77 mg/l)

was detected at cake and pytefor factories, while the lowest mean concentration (0.19 mg/l)

93

was detected at bakery factories. The average concentration of BOD5 in the all water

samples was (1.27mg/l).

These results were nearly similar to that obtained Melad, (2002) ) in a study that aimed

to evaluate the ground water pollution in Beth Lahia, Gaza Strip was mean of BOD5

concentration in the some wells recorded (3.3 mg/l, 5.5 mg/l,3.6 mg/l, 5.5 mg/l).

6.2.9 Hardness

The concentration of HN for the investigated water samples showed highest mean level

(708.89 mg/l) at bakery factories, while the lowest mean concentration (11.78 mg/l) was

recorded at juices and carbonated beverages factories. The average concentration of HN in

the all water samples was (255.92mg/l)

The results of HN that showed some of the sample HN recorded in the current study

exceeded the permissible limit in specifier Palestine standard which allowed (500 mg/l)

only (Palestinian standard of drinking water, 2005)..also the guidance of the World Heal th

Organization. Where allowed (200-500 mg/l) only.

Reported that the hardness of drinking water is determined largely by it,s content of

calcium and magnesium. It is expressed as the equivalent amount of calcium carbonate that

could be formed from calcium and magnesium in solution. Hard water contains higher

levels of calcium or magnesium than soft water (Chiu el al., 2010).

Water hardness is essential parameter industrial water consumption in manufacturing of

high –quality products (vireo, 2002).

Monjerezi and Ngongondo, (2012).In a study of Groundwater resources in some parts

of the lower section of the Shire River valley, Malawi, the authors found that these parts

are not potable for rural domestic water supply due to high salinity

6.2.10 Turbidity

The concentration of turbidity for the investigated water samples showed highest mean

level (0.36 NTU) at ice cream factories, while the lowest mean concentration (0.22 NTU)

was recorded at juices and carbonated beverages factories. The average concentration of

turbidity in the all water samples was (0.28mg/l).

94

All the results were less than the allowable limit. in specifier Palestine standard which

allowed ( 5 NTU) only (Palestinian standard of drinking water, 2005)..also the guidance of

the World Heal th Organization. Where allowed (5 NTU).

Kirmeyer el al. (2002).. Increased turbidity may be due to contamination in the storage

tank, water age or mixing issues or tank material degradation

6.2.11 Electric conductivity

The highest mean value of EC (3438.5 sm/cm) was detected at bakery factories, while

the lowest mean value (218.09 sm/cm) was detected at juices and carbonated beverages

factories. The average value of EC in the all water samples was (1319.30mg/l).

The results of EC showed that some of sample EC recorded in the current study exceeded

the permissible limit in specifier Palestine standard which allowed (3300 μs/cm) only

(Palestinian standard of drinking water, 2005). And also the guidance of the World Health

Organization. which allowed (1200-3300 μs/cm) only.

Sheykhi and Moore (2012) found in 29 sampling EC value between (6500–21510

μs/cm) in all surface water from Kor River in Fars province South West Iran samples.

6.2.12 pH value

The frquency of the pH values indicated that the highest mean level of pH (7.45) was

detected at Bakery factories, while the lowest mean level pH (6.41) was detected at Juices

and carbonated beverages factories. The average of the pH values in the all water samples

was (6.96 mg/l)

Showed the some of the results of pH value recorded in the current study exceeded the

permissible limit in specifier Palestine standard which allowed (8.5-6.5 ph) only

(Palestinian standard of drinking water, 2005)..also the guidance of the World Heal th

Organization. Where allowed (8.5-6.5 ph) only.

Aydin. (2006) . assessment of the groundwater quality of the west thrace region,wher

forty groundwater samples collected from Edirne and Cana kale were assessed for their

suitability for human consumption pH values between 5.5-8.5 were reported.

95

El-Baba, (1999) found that the pH of the ground water wells that supply Gaza city for

domestic use should be in equilibrium point. If the pH of water is raised from the

equilibrium point, the water becomes scale forming and will deposit calcium carbonate. If

the pH is lowered from the equilibrium pH, point the water turns corrosive.

6.2.3 Temperature.

The highest mean value of temperature (29.33 oC) was indicated at cake and pytefor

factories,while the lowest mean value (26.55oC) was at Juices and carbonated beverages

factories. The average value of temperature in the all water samples was (28.26mg/l).

Showed the some of the results of temperature recorded in the current study exceeded

the permissible limit in specifier Palestine standard which allowed (8-25 °C) only

(Palestinian standard of drinking water, 2005).

Stumm & Morgan, (1981).The water temperature varied from 24 °C in the wet season to

28 °C in the dry season with a mean annual temperature of 26 °C. These values are within

the natural background levels of 22–29 °C for waters in the tropics

Burlingame, (2001) Reported that in Philadelphia Pennsylvania, the summer time water

temperature of rivers and drinking water is about 25 °C whereas the wintertime temperature

can be 10-15 °C depending on the winter conditions

The temperature is a very important parameter for many physical and chemical water

treatment applications (AWWA, 2002).

96

7.Summary

The microbiological and physico-chemical parameters for water used in food

processing are very important in determining the quality of the water used in food

factories, Where the Authority has standard specifications Palestinian specific

measurements of water use in food processing which is the same standards of drinking

water. This study was conducted on 90 water samples that collected from different

factories over all Gaza city. We divided factories and manufacturing units to five groups

according to the type of food product. They are juices and carbonated beverages factories,

bakery factories, ice cream factories, oriental sweets factories, and finally cake and pytefor

factories. From each category, 18 water samples were collected. Questionnaire was

conducted for all thirty food factories.

7.1 Microbiological results

The aerobic total plate bacteria (TPC) were found in 76 samples out of 90, which

represented (84.4%) of the total samples. Number of colonies were ranged from 1 to 590

CFU/ml. juices and carbonated beverages factories had the highest percentage of positive

water which reach 100%. However, the lowest one was bakery factories with (61.1%).

The total coliform (TC) was found in 70 samples out of 90 which represented (77.7%) of

the total tested samples . The highest percentage of positive water reach(83.3%).

Nevertheless, the lowest one was bakery factories with percentage reached (38.9%).

Number of colonies were ranged from 4 to 390 CFU/100ml .

The fecal coliform (FC) was found in 55 samples out of 90 which represented (61.1%)

of the total tested samples. The juices and carbonated beverages factories had the highest

percentage of positive water which reach (88.8%). Nevertheless, the lowest one was

bakery factories with percentage reached (61.1%). Number of colonies were ranged from

1 to 100 CFU/100ml .

The fecal streptococci (FS) was found in 38 samples out of 90 which represented

(42.2%) of the total tested samples. The juices and carbonated beverages, and cake and

pytefor factories had the highest presence of FS bacteria in water which reach (50%).

However, the lowest one was oriental sweet factories with percentage reach (27.7%).

Number of colonies were ranged from 1 to 125 CFU/100ml.

97

The Pseudomonas aeruginosa was found in 56 samples out of 90 which represented

(62.2%) of the total samples tested. The factories of juices and carbonated beverages had

the highest percentage of contaminated water samples with Pseudomonas aeruginosa

which reach (83.3%). Nevertheless, the lowest one was also again bakery factories with

percentage reached 38.9% . Number of colonies were ranged from 1 to 70 CFU/200ml.

The mold was found in 17 samples out of 90 which represented (18.8%) of the total

tested samples. The cake and pytefor had the highest prevalence of mold contaminated

water with a percentage of (44.4%). The lowest one was bakery and ice cream factories

with a percentage reached (11.1%). Interestingly, all water samples that collected from

oriental sweet factories were tested negative for presence of molds. Number of colonies

were ranged from 1 to 11 CFU/100ml.

The yeast was found in 22 samples out of 90 which represented (24.4%) of the total

samples tested. The cake and pytefor had the highest prevalence of yeast contaminated

water with a percentage of (44.4%). The lowest one was bakery factories with a

percentage reached 11.1%. Number of colonies were ranged from 5 to 40 CFU/100ml.

7.2 Physico-chemical results

Results of chemical analysis of water samples showed different levels of average

concentration of Total dissolved solids ,chloride, calcium, sodium, magnesium, potassium,

nitrite, nitrate, total hardness of which was higher than the allowable limit in the standard

Palestinian and also the guidelines of WHO, where the and highest values for these

parameters were recorded in water samples that collected from bakery factories. It was as

follow:

TDS: 2104.5 mg/l , Cl: 1042.82 mg/l ,Ca :142.75 mg/l ,Na: 400.44 mg/l , Mg :81.91

mg/l, K :3.45 mg/l, NO2 :0.16 mgl , NO3 :125.1 mgl , HN :708.89mg/l

Also the lowest recorded readings of chemical analysis were in the group of juices and

carbonated beverages factories and it was as follow:

TDS: 135.03 mg/l Cl: 59.17mg/l ,Ca :2.33 mg/l Na : 32.56 mg/l, Mg :1.08mg/l, K :1.12

mg/l , NO2 :0.00 mg/l , NO3 :10.46 mg/l , HN :11.78mg/l.

The frequency of BOD5. The highest mean concentration of BOD5 (2.77 mg/l) was

detected at cake and pytefor factories, while the lowest mean concentration (0.19 mg/l) was

98

detected at bakery factories. The average concentration of BOD5 in the all water samples

was (1.27mg/l).

The concentration of turbidity for the investigated water samples showed highest mean

level (0.36 mg/l) at ice cream factories, while the lowest mean concentration (0.22 mg/l)

was recorded at juices and carbonated beverages factories. The average concentration of

Turbidity in the all water samples was (0.28mg/l).

The highest mean value of EC (3438.5 sm/cm) was detected at bakery factories, while

the lowest mean value (218.09 sm/cm) was detected at juices and carbonated beverages

factories. The average value of EC in the all water samples was (1319.30mg/l).

The frequency of the pH values indicated that the highest mean level of pH (7.45) was

detected at Bakery factories, while the lowest mean level pH (6.41) was detected at Juices

and carbonated beverages factories. The average of the pH values in the all water samples

was (6.96mg/l).

The highest mean value of temperature (29.33 oC) was indicated at cake and pytefor

factories, while the lowest mean value (26.55oC) was at juices and carbonated beverages

factories. The average value of temperature in the all water samples was (28.26mg/l).

7.3 Questionnaire

Regarding the questionnaire results, we found that 13 factories used desalinated water,

12 factories used municipality water and five of them used their own water from private

wells. We found that 16 factories used the same water for manufacturing and cleaning.

Twenty four of these factories were found to use storage tanks and 6 have no any reservoir

tanks. Out of these 24 tanks, 19 are plastic tanks and 5 are stainless steel. Only 7 tanks

were protected from direct sunlight where the rest 17 were found to be exposed to the

direct sunlight. Also, the employee cleaned the tanks once a year only in 7 factories, where

the rest 17 factories, the employee did not clean the tanks during the year.

99

8. Conclusion

1- Water is a basic and vital center in all stages of food processing

2- There are three sources of water used in food factories, a municipal water and water

desalination plants and water wells special factory

3- It showed results of microbiological analysis of samples emergence of aerobic bacteria

in a sample 76 and was isolated TC group in 70 sample and FC in 55 samples and FS in

38 samples and PS 56 in samples and Mold in 17 samples and Yeast in 22 samples of the

total 90 samples

4- Chemical analysis showed different levels of the average concentration of total

dissolved salts and mineral elements of which exceeded the allowable limit for the

Palestinian Standard

5- Higher average concentration of total Dissolved salts and mineral elements in the bakery

group and knead attributed to the use of raw water without treatment

6- Lower average concentration of total Dissolved salts and mineral elements in the

factories group juices and soft drinks group and knead attributed to the use of water

treatment

100

Recommendations

1. The physical and chemical characteristics of water that used for food and beverage

industry in foods factories should meet the Palestinian and WHO standards.

2. The used water for food and beverage industries should be free of microbial pathogens

and meet the Palestinian and WHO standards in term of microbial indicators as total and

fecal coliforms.

3. For water storage, we recommend using stainless steel tanks

4. Periodic cleaning and washing these water tanks to prevent or at least minimize its

contamination.

5. Protect these tanks from direct sunlight to avoid any chemical reactions between the tank

material and the water due to the increase in water temperature.

101

الملخص العربي

مدينة في الأغذية مصانعفي المستخدمة من المياه مختلفةلعينات يوكيميائيةوالفيز الميكروبيولوجية الخصائص

فلسطين -غزة

اىزظغ اىغذائ ب عذا ف رؾذذ ذي ف اىظزخذخ يبىمبئخ اىفش اىنزثىعخاىخظبئض رؼزجز

قبض ؾذدح اىفيظطخف اىظبغ اىغذائخ ؽش ضؼذ ئ اىاطفبد اىقبطخ اىظزخذخعد اىب

ظغ غذائ 30 اىذراطخشيذ ذ ىيشزة اىظبىؾخلاطزخذا اىب ف اىزظغ اىغذائ ثفض قبض اىب

خض غػبد ػي ؽظت ع اىزظ اىغشح ر رقظ اىظبغ ؽذاد اىزظغ خرظغ غذائ ف ذ حؽذ

6,اىنل أي ىنو غػ اىشزقخاىؼظبئز , اىخبثش ,الاض مز ,اىؾيبد خاىغذائ اىشزثبد اىغبس

اىز ىيضلاص ظغػ , مب ر ػو اطزجب 90ػبد مو ظغ ىظجؼ ػذد اىؼبد 3ظبغ .ر طؾت

.اىذراطخاعزذ ػيب

ةالميكربيولوجي الفحوصات

اىقى غػ اىقى غػ اىائخنزثىع ضو اىجنززب أخضؼذ عغ ػبد اىب ىيفؾطبد اى

اىظذض ارغسا اىؼف اىخبئز خ ,ثنززب اىظززجزممض اىجزاس ,خاىجزاس

خ غع اىؼبد مب اػي ظج %84.4 ظجخأي ب خػ 90 اطو خ ػ 76ف اىائخعذد اىجنززب

% اقو ظجخ ظر ف 100 خظجاىؼظبئز ث اىغبسخظبغ اىشزثبد خظر ف ػذد اىؼبد غػ

.%61.1اىخبثش ثظج خغػ

خ غع اىؼبد مب اػي ظر ف غػ %77.7ب ظج خػ 70اىقى خر ػشه غػ

..%38.9 خاىخبثش ثظج خاقو ظر ف غػ .%83.3 خاىؼظبئز ثظج اىغبسخظبغ اىشزثبد

غع اىؼبد مب اػي ظر ف %61.1 اي ب ظجخ ػ 55 خاىجزاساىقى خر ػشه غػ

خمب اقو ظر ف غػ اىخبثش ثظج %88.8اىؼظبئز ثظجخ اىغبسخظبغ اىشزثبد خ غػ

61.1%..

غع اىؼبد مب اػي ظر ف %42.2ظجخ ػ اي ب 38ر ػشه ثنززب اىظززجزممض اىجزاسخ

ظبغ خاقو ظر مب ف غػ %50ثظجخ اىنل خاىؼظبئز غػ اىغبسخظبغ اىشزثبد خغػ

. %27.7 ثظجخ اىشزقخاىؾيبد

غع اىؼبد مب اػي ظر ف %62.2اي ب ظجخ خػ 56مب ر ػشه اىظذض ارغسا

%38.9اقو ظر مب ف غػ اىخبثش ثظجخ %83.3اىؼظبئز ثظجخ اىغبسخغػخ ظبغ اىشزثبد

غع اىؼبد مب اػي ظر ف غػ ظبغ اىنل %18.8ثظجخ ػخ 17ر ػشه اىؼف

%11.1 خاىخبثش ثظج خظبغ الاض مز غػ خاقو ظر مب ف غػ %44.4ثظجخ

102

غع اىؼبد مب اػي ظر ف غػ ظب اىنل %24.4ػخ ثظجخ 22اضب ر ػشه اىخبئز

%11.1اقو ظر مب ف غػخ اىخبثش ثظجخ ,%44.4ثظجخ

ةالفحوصات الفيزيوكيميائي

اىنيرذ اىنبىظ اىظد اىبغظ اىنيخ اىذائجخلاػ ضو الأ خاىفشمبئ اىخظبئضر رؾيو

اىزطو اىنزثبئ الاص اىؼنبرحاىجربط اىززذ اىززاد اؽزبط الامظغ اىؾي اىؼظز اىني

اىذرع درع اىؾزارح.

ب رؼذيب اىنيخ اىذائجخ زطط رزمش الالاػ خزيفخظزبد اىنيخ اىذائجخ ىلألاػاظز اىزؾيو اىنبئ

اىنيخ اىذائجخ ىلألاػزطط رزمش ىب اىزظغ اىغذائ , ؽش مب اػي اىفيظطخ اىقبطخ خاىؾذ اىظػ ىياطف

اقو زطط رزمش مب ف غػ ظبغ اىشزثبد mg/l 2104.5رظغو ثقزاءحخبثش ف غػ اى

ىغغ اىؼبد اىنيخ اىذائجخمب زطط رزمش الالاػ mg/l 135.03رظغو ثقزاءحاىؼظبئز اىغبسخ

825.69mg/l.

زطط رزمش اىنيرذ اىنبىظ اىظد اىبغظ خزيفخمب اظز اىزؾيو اىنبئ ظزبد

اىفيظطخ اىقبطخ اىاطفخاىجربط اىززذ اىززاد اىؼظز اىني ب اررفغ ػ اىؾذ اىظػ ث ف

مبذ مب ي : اىخبثش خف غػ زاقطغيذ اػي اىؼبىخ خاىظؾاضب اىزعبد

Cl: 1042.82 mg/l ,Ca :142.75 mg/l ,Na: 400.44 mg/l , Mg :81.91 mg/l, K :3.45 mg/l ,

NO2 :0.16 mg/l , NO3 :125.1 mg/l , HN :708.89mg/l

اىؼظبئز مبذ مب ي: اىغبسخظبغ اىشزثبد خف غػ قزاطغو اقو ىلمذ

Cl: 59.17mg/l ,Ca :2.33 mg/l Na : 32.56 mg/l, Mg :1.08mg/l, K :1.12 mg/l ,

NO2 :0.00 mg/l , NO3 :10.46 mg/l , HN :11.78mg/l

ؼشي اررفبع زطط اىززمشاد ف اىخبثش اى اطزخذا اىخبثش ىب اىجيذبد ب الاثبر د أي ؼبىغ ىيب

. اىؼبىغخف اىغبىت رظزخذ اىب ف اىغبسخاب ف ؽبى ظبغ اىشزثبد اىظزخذخ

بم msm/cm.3438ف اىزطو اىنزث ؽش طغو زطط اىقبص الأػيىاىخبثش خىذىل مبذ غػ زغخ

msm/cm 218.09 ثقزاءحاىؼظبئز اىغبسخظبغ اىشثبد خاقو زطط رطو اىنزث ف غػ

mg/l 2.77طغيذ ثقزاءح ظبغ اىنل خاىؾي مب اػي زطط رزمش ف غػ الأمظغر رؾيو اؽزبط

الأمظغمذىل طغو زطط رزمش اؽزبط mg/l 0.19طغيذ ثقزاءحاىخبثش خ مب اقو زطط رزمش ف غػ

. 1.27mg/lاىؾي ف عغ اىؼبد

103

مب الاقو ف mg/l 0.36رظغو ثقزاءحظبغ الاض مز خف غػ الأػيى اىؼنبرحطغو زطط رزمش

.مبذ قزاء mg/l 0.22رظغو ثقزاءحاىؼظبئز اىغبسخزطط رزمش اىؼنبر غػ ظبغ اىشزثبد

.0.28mg/lىغغ اىؼبد اىؼنبرحزطط رزمش

مب pH (7.45)اىخبثش ثق خىغػ خاػي قالاص اىذرع ف عغ اىؼبد مبذ زطط خطغيذ ق

الاص خمبذ زطط ق pH (6.41) خاىؼظبئز ثق اىغبسخف غػخ ظبغ اىشزثبد خزطط اقو ق

. pH 6.96اىذرع ىغغ اىؼبد

ح ف رؽ زا خاػي درع ؽذ طغو زطط اىؾزارح خػبد اىب مب بك رفبد ف ق درع حطغيذ درع ؽزار

29.33ثق غػ خ اىن ل oC ظ بغ اىش زثبد خاىؾ زارح غػ خدرع خم ب الاق و ف زط ط ق

26.55اىؼظبئز ثق اىغبسخoC 28.28 ف عغ اىؼبد اىؾزارحمب زطط ق درع c .

وتائج تحليل الاستبيان

13ىيب خزيفخ فنب بك صلاس ظبدر اىذراطخظغ اىز اعزذ ػيب ثبىضلاصر ػو اطزجب خبص

16رظزخذ ب ثئز خبص ثبىظغ , مب 5 خرظزخذ ب ثيذ 12مب اىزؾيخظغ رظزخذ ب ؾطبد

لا 6ىيب قبثو خشا ظغ مبذ رؾزي ػي 24ظغ ظزخذ فض ظذر اىب ىيزظغ ىيزظف , اضب

5رظزخذ رل ثلاطزن قبثو 19اىزخش خشاػب خشا, اطزخذذ اىظبغ اىز عذ ث خشاثب عذ

لا رزؼزع 7ىيشض قبثو خشابربظغ رزؼزع 17 الافضو , مب اضب طزو اىظزبيض خشافقط رظزخذ

خلاه اىؼب اىاؽذ. اىخشالا ز رظف 17خلاه ػب قبثو خشااىظبغ رق ثزظف 7اىشض , فقط حىؾزار

104

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