Coffee roasting thesis.pdf

8/19/2019 Coffee roasting thesis.pdf

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Physicochemical Changes of Coffee Beans During Roasting

by

Niya Wang

A Thesis

Presented to

The University of Guelph

In partial fulfilment of requirements

for the degree of

Master of Sciencein

Food Science

Guelph, Ontario, Canada

© Niya Wang, April, 2012


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ABSTRACT

PHYSICOCHEMICAL CHANGES OF COFFEE BEANS DURING

ROASTING

Niya Wang Advisor:

University of Guelph, 2012 Professor Loong-Tak Lim

In this research, physicochemical changes that took place during roast

processing of coffee beans using fluidized air roaster were studied. The results

showed that high-temperature-short-time resulted in higher moisture content,

higher pH value, higher titratable acidity, higher porous structure in the bean cell

tissues, and also produced more aldehydes, ketones, aliphatic acids, aromatic

acids, and caffeine than those processed at low-temperature-long-time process.

Fourier transform infrared (FTIR) spectroscopy and chemometric analysis

showed that clusters for principal components score plots of ground coffee,

extracted by a mixture of equal volume of ethyl acetate and water, were well

separated. The research indicated that variations in IR-active components in the

coffee extracts due to different stages of roast, roasting profiles, and

geographical origins can be evaluated by the FTIR technique.


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ACKNOWLEDGMENTS

I am most grateful to Prof. Dr. Loong-Tak Lim for giving me the opportunity

to work in his group. I have always appreciated his far-sighted guidance,

continued support, and constructive evaluation throughout my research and in

many aspects of my life. Further, I am much indebted to my advisory committee

members Dr. Lisa Duizer, and Dr. Massimo Marcone for their unlimited

confidence on my research work and helps during the writing of the thesis.

Special thanks to Natural Sciences and Engineering Research Council of

Canada (NESRC) and Mother Parkers Tea & Coffee Inc., for their essentialfinancial support, without which this research will not be possible. Many thanks to

my Packaging and Biomaterials Group sisters and brothers: Ana Cristina Vega

Lugo, Solmaz Alborzi, Suramya Minhindukulasuriya, Roc Chan, Grace Wong,

Alex Jensen, Khalid Moomand, Qian Xiao, Xiuju Wang, and Ruyan Dai for their

assistance, friendship, patience, and bringing colourful life for these years. Many

thanks are also going to Dr. Yukio Kakuda, Dr. Sandy Smith, and Bruce Manion

for their technical assistance along the way.

I would like to take this opportunity to express my deepest gratefulness to

my parents, my husband Dr. Yucheng Fu, my son Stanley Fu, and other family

members for their infinite love, support and encouragement throughout these

years of my studies at Guelph.


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TABLE OF CONTENTS

ACKNOWLEDGMENTS.……………………………………………………… .….......iii

TABLE OF CONTENTS.………………………………………………………… ...…..iv

LIST OF FIGURES.……………………………………………………………… ...…..vi

LIST OF TABLES.…..………………………..…………………………………...…..viii

LIST OF ABBREVIATIONS.………………………………………………… .…...…..ix

1 INTRODUCTION ............................................................................................... 1

2 LITERATURE REVIEW ..................................................................................... 4

2.1 THE GREEN COFFEE BEANS ............................................................................. 4

2.2 ROASTING OF COFFEE BEANS .......................................................................... 8

2.3 AROMA COMPOUNDS IN ROASTED COFFEE ...................................................... 14

2.4 FOURIER TRANSFORM INFRARED (FTIR) SPECTROSCOPY ................................ 19

2.5 CHEMOMETRICS ........................................................................................... 21

3 JUSTIFICATION AND OBJECTIVES .............................................................. 26

4 FEASIBILITY STUDY ON CHEMOMETRIC DISCRIMINATION OF ROASTED

ARABICA COFFEES BY SOLVENT EXTRACTION AND FOURIERTRANSFORM INFRARED SPECTROSCOPY ................................................... 27

4.1 INTRODUCTION ............................................................................................. 27

4.2 M ATERIALS AND METHODS ............................................................................ 29

4.2.1 Chemicals ............................................................................................ 29

4.2.2 Coffee Beans and Roasting Conditions ............................................... 29

4.2.3 Degree of Roast as Determined by Color Measurements ................... 30

4.2.4 Solvent Extraction of Ground Coffee ................................................... 30 4.2.5 ATR-FTIR Analysis .............................................................................. 31

4.2.6 Data Analysis ...................................................................................... 32

4.3 RESULTS AND DISCUSSIONS .......................................................................... 32

4.3.1 Optimization of Solvent Extraction for FTIR-ATR ................................ 33

4.3.2 Color Analysis ..................................................................................... 38


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4.3.3 PCA Analysis of Solvent Extracts of Coffee Beans ............................. 40

4.3.4 PCA Analysis for Coffees According to Degree of Roast .................... 47

4.3.5 SIMCA Analysis ................................................................................... 52

5 EFFECTS OF DIFFERENT TIME-TEMPERATURE PROFILES ON COFFEEPHYSICAL AND CHEMICAL PROPERTIES ...................................................... 54

5.1 INTRODUCTION ............................................................................................. 54

5.2 M ATERIALS AND METHODS ............................................................................ 57

5.2.1 Chemicals and materials ..................................................................... 57

5.2.2 Green Beans and Roasting Conditions ............................................... 57

5.2.3 Degree of Roast as Determined by Color Measurements ................... 58

5.2.4 Moisture Content of Ground Coffee ..................................................... 58

5.2.5 pH Value .............................................................................................. 59

5.2.6 Titratable Acidity .................................................................................. 59

5.2.7 Solvent Extraction and ATR-FTIR Analysis of Ground Coffee ............. 59

5.2.8 Chemometric Analysis ......................................................................... 60

5.2.9 Scanning Electron Microscopy (SEM) Analysis ................................... 60

5.3 RESULTS AND DISCUSSION ........................................................................... 60

5.3.1 Evolution of physical and chemical properties during roasting ............ 60

5.3.2 Changes in coffee at various stages of roast ....................................... 66

5.3.3 Effects of roast temperature on changes in coffee .............................. 72

5.3.4 Microstructural analysis ....................................................................... 74

6 CONCLUSIONS AND FUTURE WORKS ........................................................ 78

7 REFERENCE ................................................................................................... 82


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LIST OF FIGURES

Figure 1 Chemical composition of green, roasted, and brewed coffee (Barter

2004) ..................................................................................................................... 9

Figure 2 Schematic diagram of a typical FTIR spectrometer ............................. 20

Figure 3 Vibrational absorbance due to common bands .................................... 20

Figure 4 Schematic diagram of PCA analysis .................................................... 24

Figure 5 Air temperature (in roast chamber) profiles of the fluidized bed hot air

coffee roaster ...................................................................................................... 30

Figure 6 Appearance of coffee extracts by dichloromethane, hexane, ethyl

acetate, acetone, ethanol, and acetic acid (the right vial represent the extracts by

Method #1) .......................................................................................................... 35

Figure 7 FTIR spectra of coffee extracts obtained with hexane, dichloromethane,

ethyl acetate, acetone, ethanol, or acetic acid using method #1 (with water) and

method #2 (no water) .......................................................................................... 38

Figure 8 Selected FTIR spectra of dark roast coffee extract obtained with

dichloromethane as a solvent (using method 1#)................................................ 41

Figure 9 PCA of FTIR data for hexane, dichloromethane, ethyl acetate, and

acetone extracts of medium roast coffee. Row A: Two-factor score plots. Row B:

Loading plots of PC1. Row C: Corresponding FTIR raw spectra ........................ 42

Figure 10 PCA of FTIR data for hexane, dichloromethane, ethyl acetate, andacetone extracts of dark roast coffee. Row A: Two-factor score plots. Row B:


Figure 11 PCA of FTIR data for dichloromethane extracts of coffee (from the


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same origin) with two degrees of roast. Row A: Two factor score plots. Row B:


Figure 12 PCA of FTIR data for ethyl acetate extracts of coffee (from the same

origin) with two degrees of roast. Row A: Two factor score plots. Row B: Loading

plots of PC1. Row C: Corresponding FTIR raw spectra ...................................... 51

Figure 13 Changes in lightness, moisture content, pH value, and titratable acidity

of coffee beans processed to different roast stages (A). The same data are

plotted as a function of actual roast time (B). Roasting occurred isothermally at

210, 220, 230 and 240

o

C .................................................................................... 62

Figure14 PCA analysis for coffees during roasting. Column A: Two-factor score

plots. Column B: Loading plots of PC2. Column C: Representative FTIR spectra

at the start-of-second-crack ................................................................................ 69

Figure15 The expanded 2910-2850 cm-1, and 1800-1500 cm-1 regions of the

spectra of coffee roasted at 230oC ...................................................................... 71

Figure16 PCA analysis for coffees collected at the same sampling point. Row A:

Two-factor score plots. Row B: Loading plots of PC1. Row C: Representative

FTIR spectra at 230oC ........................................................................................ 73

Figure 17 SEM micrographs of internal texture for coffee beans collected at

different stages of roast. The temperatures indicated on each row of micrographs

were the roast temperature ................................................................................. 76


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LIST OF TABLES

Table 1 Chemical composition of green Arabica and Robusta coffee beans

(g/100g) ................................................................................................................ 7

Table 2 Potent odorants in Arabica coffee from Colombia ................................. 16

Table 3 Physical properties of the investigated solvents (Pagni 2005) ............... 34

Table 4 Evaporation time of the coffee extracts.................................................. 36

Table 5 L* Value of Roasted Ground Arabica Coffee Beans .............................. 39

Table 6 Turkey method for L* value comparisons .............................................. 40

Table 7 SIMCA Classification Results for Coffees from Different Geographic

Origins ................................................................................................................ 52

Table 8 SIMCA classification results for coffees according to degree of roast ... 53

Table 9 Time Taken to Achieve Different Stages of Roasting at Four Different

Final Roast Temperatures .................................................................................. 58


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LIST OF ABBREVIATIONS

FTIR Fourier transform infrared

ATR Attenuated total reflectance

PTR-MS Proton transfer reaction-Mass spectrometry

PAS Photoacoustic spectroscopy

PCA Principal component analysis

HCA Hierarchical cluster analysis

PLS Partial least squares

PCR Principal component regression

PLS-DA Partial least squares-discriminant analysis

KNN K-nearest neighbour

SIMCA Soft independent modeling of class analogy

PCs Principal components

HS-SPME Headspace solid phase microextraction

NMR Nuclear magnetic resonanceGC-MS Gas chromatography-mass spectrometry

GC Gas chromatography

L* Lightness

SEM Scanning electron microscope


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1 INTRODUCTION

Coffee is one of the most popular beverages in the world. Nearly 25 million

farmers in 50 countries around the world depend on coffee for a significant part of

their livelihoods (Cague et al. 2009). Coffee is the most traded commodity

second after oil (Ponte 2002). Among coffee drinkers, the average consumption

in the United States is 3.2 cups of coffee per day versus 2.6 cups in Canada

(Canada 2003).

A good quality cup of coffee is depended on many factors, such as the

quality of green beans, the roasting conditions, the time since the beans are

roasted, and the type of water used for brewing. More than 800 volatile

compounds have been identified in roasted coffee, whereof around 30

compounds are responsible for the main impression of coffee aroma

(Baggenstoss et al. 2008).

The overall quality and chemical composition of green coffee beans are

affected by many factors, such as the composition of the soil and its fertilization,

the altitude and weather of the plantation, the cultivation, and the drying methods

used for the beans. Coffee plants are mainly grown in tropical and subtropical

regions of central and South America, Africa and South East Asia, in temperate

and humid climates at altitudes between 600 and 2500 m (Schenker 2000). The

genus coffee belongs to the botanical family of Rubiaceae and comprises more

than 90 different species (Davis 2001). However, only C. arabica, C. canephora,

and C. liberica are of commercial importance (Schenker 2000). As a result of

modem breeding techniques some hybrids of C. arabica and C. canephora have


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recently been introduced with success. Usually roasted coffee beans from

different origins are blended at specific ratios to provide coffee of unique flavour

profiles. Often time, coffee beans are blended for the purpose of cost saving.

Coffee cherries are harvested each year when they are bright-red, glossy,

and firm. After removing the outer hull, the seeds inside of the cherry are

commonly called "green coffee beans". The quality of the green coffee beans is

dictated by a number of parameters, including bean size, color, shape, method of

drying, crop year, and presence of defects (crack, withered bean, bean in

parchment, mouldy bean, etc.).

The unique aroma profiles of coffee are closely related to the time-

temperature profile used during roasting. The roasting profiles are chosen to

produce high quality coffee which are unique to specific brands and must be

strictly controlled to meet consumers’ expectations. Coffee producers rely on

sensory and physicochemical characteristic evaluations to assure that roasting

takes place at the target process parameters. Industrial scale roasting of coffee

beans is mainly achieved by conventional drum roasting, in which beans are

heated with hot gas in a horizontal drum, or vertical drums equipped with paddles.

Roasting time can range from 3 to 12 min, depending on the temperature used,

which is typically between 230 to 250oC. By contrast, fluidized bed roasting is

achieved by directing high velocity hot air towards the beans, usually from the

bottom of the roaster, to suspend the beans in turbulent air. The hot air

temperature ranges from 230 to 360oC (Eggers & Pietsch 2001). The roast

temperature determines both flavour formation and structural product properties.


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Different temperature profiles affect dehydration and the chemical reaction

conditions in the bean which control gas formation, browning and flavour

development. In general, the use of roasting temperature of greater than 200°C

is required in order to result in desirable chemical, physical, structural, and

sensorial changes in the coffee beans (Clarke & Macrae 1988; Schenker 2000;

Schenker et al. 2002; Baggenstoss et al. 2008). Color change and weight loss

are frequently used as a measure of the degree of roast, and both are directly

related to the final roasting temperature (Sivetz 1991; Illy & Viani 1995). Other

methods, such as the ratios of free amino acids (Nehring & Maier 1992), andchlorogenic acids content (Illy & Viani 1995) have also been used.

Researchers have reported the effects of time-temperature profile on coffee

aroma properties. In general, low-temperature-long time roast processes result

in sour, grassy, woody, and underdeveloped flavour properties. In comparison,

high-temperature-short-time produced the higher quality coffee in terms of

producing more aroma volatiles and higher brew yield (Schenker et al. 2002;

Lyman et al. 2003). Reviewing these and other literature, one can conclude that

the complex changes in coffee during roasting do not solely depend on physical

parameters at the start and end point of the thermal process, but rather a path-

dependent phenomenon. Therefore, to gain insight into the changes of

physicochemical properties of coffee during roasting, the green beans must be

roasted under controlled conditions.

The overall objective of this study is to apply a chemometric technique, in

conjunction with Fourier transform infrared spectroscopy, to elucidate the effects


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of time-temperature effects on physical and chemical properties of coffee from

different grown regions during fluidized-bed roasting.

2 LITERATURE REVIEW

2.1 The green coffee beans

The overall quality and chemical composition of green coffee beans are

affected by many factors, such as the composition of the soil and its fertilization,

the altitude and weather of the plantation, and the final cultivation and dryingmethods used. Coffee plants are grown in tropical and subtropical regions of

central and South America, Africa, and South East Asia, mainly in regions with

temperate and humid climates (Schenker 2000). Brazil is by far the largest

grower and exporter of green coffee beans in the world followed by Vietnam,

Colombia, Indonesia, Ethiopia and India – producing nearly 2.5 million tons of

green coffee beans per year (Franca & Oliveira 2009).

The genus coffee belongs to the botanical family of Rubiaceae and

comprises more than 90 different species (Davis 2001). However, only Coffea

Arabica (Arabica), Coffea canephora (Robusta), and Coffea liberica are of

commercial importance (Schenker 2000). Arabica accounts for approximately 64%

while Robusta accounts for about 35% of the world’s production; other species

with not much commercial value like Coffea liberica and Coffea excelsa represent

only 1% (Rubayiza & Meurens 2005). Due to its more pronounced and finer

flavour qualities, Arabica is considered to be of better quality and accordingly


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The aroma profile of roasted ground coffee is also related to the origin and

variety of the beans. In general, blends with greater Arabica content tend to carry

more fruity notes due to the aldehydes, acetaldehyde, and propanal, while the

pyrazines give the earthy odor. In comparison, Robusta beans carry stronger

“roasty” and “sulphury” note due to the presence of greater amount of sulphur-

containing compounds (Sanz et al. 2002). Thus, Arabica is often added for the

aroma effect while Robusta is used for enhancing the body, earthy and phenolic

notes of the coffee blend (Parliment & Stahl 1995). Besides contributing to

balanced flavour profiles, Robusta coffee is often blended with Arabica for costreduction purpose. Robusta beans are lower in cost since the crops are more

hardy to grow (more resistant to infestation) and easier to harvest (grown in

regions of low elevation) than the Arabica counterpart.

Defective beans (black or brown, sour, immature, insect-damaged, split),

which represent about 11-20% of coffee production, can impact the flavour of the

roasted products. Mazzafera compared the chemical composition of defective

beans and non-defective beans. The researcher found that non-defective beans

were heavier, had higher water activity, and lower titratable acidity than the

defective beans. The content of sucrose, protein, 5-caffeoylquinic acid, and

soluble phenols were also higher in non-defective coffee beans (Mazzafera 1999).

Nevertheless, the antioxidant level in the defective beans, especially chlorogenic

acids, remains high which may be a good source of antioxidant or radical

scavenger for other food applications (Nagaraju et al. 1997).


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Table 1 Chemical composition of green Arabica and Robusta coffee beans

(g/100g)

Component Arabica coffee Robusta coffee

Polysaccharides 49.8 54.4

Sucrose 8.0 4.0

Reducing sugars 0.1 0.4

other sugars 1.0 2.0

Lipids 16.2 10.0

Proteins 9.8 9.5

Amino acids 0.5 0.8

Aliphatic acids 1.1 1.2

Quinic acids 0.4 0.4

Chlorgenic acids 6.5 10.0

Caffeine 1.2 2.2

Trigonelline 1.0 0.7

Minerals (as oxide ash) 4.2 4.4

Volatile aroma traces traces

Water 8 to 12 8 to 12

After harvesting, green coffee beans should be dried to 10-14.5% moisture

content and stored below 26oC under dry environment (50-75% RH) to maintain

the bean quality and to prevent the growth of mould (Gopalakrishna Rao et al.

1971; Kulaba 1981; Betancourt & Frank 1983). Under optimal storage conditions,


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green coffee beans may be stored for more than 3 years (Bucheli et al. 1998).

Usually, green coffee beans are packaged in natural jute, sisal or burlap bags,

although high quality beans may be packaged in high barrier synthetic vacuum

packages fabricated from synthetic thermoplastic polymers. Cupping is a method

to detect the early stages of coffee deterioration. Bucheli and others (Bucheli et al.

1996) reported that glucose was a sensitive marker for green coffee bean quality

during storage. Glucose is present only in trace amount of good quality green

coffee, and the content will increase when deterioration occurs (Wolfrom & Patin

1965; Bucheli et al. 1996).

2.2 Roasting of coffee beans

Green coffee beans provide neither the characteristic aroma nor flavour of

brewed coffee until they are roasted. Moreover, the roasting process increases

the value of coffee beans, by 100-300% of the raw material (Yeretzian et al.

2002). Roasting of coffee beans typically takes place at 200-240°C for different

times depending on the desired characteristics of the final product. Events that

take place during roasting are complex, resulting in the destruction of some

compounds initially present in green beans and the formation of volatile

compounds that are important contributors to the characteristic of coffee’s aroma.

The chemical compositions of green, roasted, and brewed coffee are shown in

Figure 1 (Barter 2004).


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Figure 1 Chemical composition of green, roasted, and brewed coffee (Barter

2004)

Briefly, as temperature increases to about 100oC, green coffee beans

undergo moisture loss from 8-12% in green coffee beans to about 5% in the

roasted coffee beans (Illy & Viani 1998). The smell of the beans changes from

herb-like green bean aroma to bread-like, the color turns from green to yellowish,

and the structure changes from strength and toughness to more crumbly and

brittle. When the internal temperature of beans reaches 100oC, the color

darkened slightly for about 20-60 s due to the vaporization of water. At 160-

170oC, the beans become lighter in color for about 60-100 s. As roasting

cellulose

(non Hyd)

18%

cellulose

(Hyd)

13%

starches and

pectins

13%

soluble

carbohydrates

9%

water

12%

non volatile acids

7%

caffeine

1%

protein

12%

ash

3% oil

11%

trigonelline

1%

Green coffee beans

caffeine

1%

water

2%

starches and

pectins

14%

CO22%

cellulose(Hyd)

14%

cellulose

(non Hyd)

17%trigonelline

1%

oil

13%

ash

4%

protein

13%

non volatile acids

7%

soluble

carbohydrates

10%

Roasted coffee beans

oil 1%

soluble

carbohydrates

37%

non volatile

acids

31%

caffeine

6%

protein

5%

ash

16%

trigonelline

4%

Brewed solubles


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continues at this temperature, Maillard and pyrolytic reactions start to take place,

resulting in gradually darkening of the beans (Hernandez et al. 2007). The

buildup of water pressure, along with the large amount of gases generated

causes the cellulose cell wall to crack, giving rise to the so called “first crack”. As

heating continues at the roasting temperature (160-170oC), the coffee becomes

darker and more rapid popping of coffee bean occurs (“second crack”) as the

carbon dioxide (CO2) buildup exceeds the strength of the cellulosic walls of the

bean. Finally, after roasting, the fresh roasted coffee beans are quickly cooled to

stop roasting (Yeretzian et al. 2002).

The final quality of roasted coffee is influenced by the design of the roasters

and time-temperature profiles used. Although heat transfers during roasting can

involve conduction, convection, and radiation, convection by far is the most

important mode of heat transfer that determines the rate and uniformity of

roasting (Baggenstoss et al. 2008). Coffees roasted in fluidized-bed roaster that

is almost exclusive based on convective heating can result in low density and

high yield coffee (Eggers & Pietsch 2001). On the other hand, coffees roasted in

drum roaster that involves mainly conductive heat transfer have less soluble

solids, more degradation of chlorogenic acids, more burnt flavour, and higher

loss of volatiles than the fluidized bed roasters (Nagaraju et al. 1997).

The effects of time-temperature profile on coffee aroma properties have

been reported by Lyman et al. (Lyman et al. 2003). They observed that the

medium roasted process (6.5 min to the onset of the first crack and 1.0 min to the

onset of the second crack) resulted in good balance of taste and aroma with


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citrus flavour . However, the “sweated process” (4.5 min to the first crack and 6.5

min to the second crack) resulted in non-uniform bean color and the coffee was

“sour, grassy, and underdeveloped”. Reducing the heating rate further by using

the “baked process” (11 min to the first crack and 18 min to the second crack)

produced coffee of “flat, woody with low brightness and acidity” (Lyman et al.

2003). In another study, Schenker et al. reported that LHC process (150 to 240oC

in 270 s; 240oC for 55 s) resulted in the formation of the highest quantities of

aroma volatiles, while the long time low temperature (LTLT) approach (isothermal

heating at 220

o

C for 600 s) generated the lowest aroma volatiles. Moreover, thedistribution of the 13 volatile compounds monitored was considerably different

depending on the roasting profiles used (Schenker et al. 2002).

Depending on the extent of heat treatment, coffee can be largely

categorized as light, medium or dark roasts. Light roast process tends to give

non-uniform bean color with sour, grassy, and underdeveloped flavour, while

medium roast process produces a balanced taste and aroma with citrus flavour.

By contrast, dark roast process produces coffee of low acidity sensory profiles

(Lyman et al. 2003). Physical characteristics such as temperature, color, and

weight-loss are often used as indicators of roast degree. However, these

parameters only allow assessment of the flavour profile for coffee roasted under

narrow process conditions (Sivetz 1991; Illy & Viani 1995). Other analytical

methods for quantifying the degree of roast include ratio of free amino acids

(Nehring & Maier 1992), alkylpyrazines (Hashim & Chaveron 1995), and

chlorogenic acids content (Illy & Viani 1995). Fobe and others (Fobe et al. 1968)


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studied changes in chemical composition of Arabica coffee roasted at 230°C at

different process times. They reported that as the roasting time increased, the

following changes occurred: (1) sugar contents first increased, and then

decreased; (2) minimal change in caffeine content; (3) proteins decreased

continuously; (4) free fatty acids increased; and (5) unsaponifiable compounds

decreased (Fobe et al. 1968).

2.3 Changes in Chemical Compositions during Roasting

Roasting causes a net loss of matters in the forms of CO2, water vapor, and

volatile compounds. Moreover, degradation of polysaccharides, sugars, amino

acids and chlorogenic acids also occurred, resulting in the formation of

caramelization and condensation products. Overall, there is an increase in

organic acids and lipids, while caffeine and trigonelline (N-methyl nicotinic acid)

contents remained almost unchanged (Buffo & Cardelli-Freire 2004). The main

acids present in green beans are citric, malic, chlorogenic, and quinic acids.

During roasting the first three acids decrease while quinic acid increases as a

result of the degradation of chlorogenic acids (Ginz et al. 2000). Formic and

acetic acids yields increase up to the medium roasting degree and then begin to

fall as roasting is continued. According to Balzer (Balzer 2001), a rapid increase

in titratable acidity during roasting was observed from green to medium roast,

followed by a smaller decrease as roasting proceeded.


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The reaction products formed are highly dependent on the roasting time-

temperature profile used. Excessive roasting produces more bitter coffee lacking

satisfactory aroma, whereas very short roasting time may be insufficient to

develop full organoleptic characteristics (Yeretzian et al. 2002; Lyman et al. 2003;

Buffo & Cardelli-Freire 2004). Although the majority of phenolic antioxidants

naturally occurring in coffee bean are lost during roasting, the formation of other

antioxidants from Maillard reactions during roasting can enhance the antioxidant

activity of coffee. Compared to medium roast coffee, dark roast coffee exhibited

lower radical scavenging activity than medium roasted coffee due to thedegradation of polyphenol, and thus the antioxidant activity will also depend on

roasting severity and type of coffee (Giampiero Sacchetti 2009).

The profile of organic compounds generated during roasting is very

dynamic and complex. Using Proton transfer reaction-Mass spectrometry (PTR-

MS) technique, Yeretzian et al. (Yeretzian et al. 2002) simultaneously monitored

the evolution of 8 volatile compounds at isothermal conditions as a function of

time. They observed a distinctive increase in acetic acid, methyl acetate, and

pyrazine concentrations in the headspace, all occurred at the same time.

Concomitantly, there was a rapid decrease in water vapor and methanol

concentrations. Moreover, these peaks shifted in synchronous manner with the

roasting condition. For instance, at 190o

C, the above observed changes took

place at 19 min but shifted to 30 min when the beans were roasted at 180 oC

(Yeretzian et al. 2002). Similar observations were observed by Hashim and

Chaveron, who concluded that methylpyrazine may be used as an indicator to


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monitor the roasting progress of coffee beans (Hashim & Chaveron 1995). It has

been suggested that the pressure buildup within intact bean cells is comparable

to inside an autoclave, which can further complicated the chemical reactions

occurred in coffee bean during roasting (Buffo & Cardelli-Freire 2004).

Chemical reactions happened during coffee roasting are very complex,

which have not been fully understood. Based on the literature reviewed, we can

conclude that the quality of roasted coffee cannot be solely described in terms of

physical parameters at the start and end point of roasting, but rather it is

dependent on the path taken during the roasting process. To reach a specific

flavour profile, not only that precise control of roasting time and temperature is

needed, the variety/quality of green beans, cooling, and degassing conditions are

expected to be important as well.

2.4 Flavour compounds in roasted coffee

Chemical compounds present in roasted coffee can be roughly grouped into

volatile and non-volatile, some of the former being responsible for aroma and the

latter for the basic taste sensations of sourness, bitterness and astringency

(Buffo & Cardelli-Freire 2004). Russwurm reported that carbohydrates, proteins,

peptides and free amino acids, polyamines and tryptamines, lipids, phenolic

acids, trigonelline, and various non-volatile acids in the green coffee beans were

involved in the flavour formation during roasting (Russwurm 1970). For example,

chlorogenic acid contributes to body and astringency; sucrose contributes to


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color, aroma, bitterness, and sourness; minor protein components like free amino

acids are highly reactive by interacting with reducing sugars, which make the

Maillard reaction happen; triogenlline generates pyridine and may be

consequently be responsible for some objectionable flavours; and caffeine can

be contributed to the bitterness (Flament 2002).

Maillard reactions have been identified to be the major pathway in the

formation of volatile compounds in coffee roasting (Shibamoto 1991). In the

Maillard reaction, reducing sugars such as glucose or fructose react with free

amino acids to form N -substituted glycosylamine adducts, which are then

rearranged to aminoketones and aminoaldoses by Amadori and Heynes

rearrangements. A complex reaction cascade of Amadori and Heynes

rearrangement products leads to numerous volatile compounds and complex

melanoidins.

More than 800 volatile compounds have already been identified in roasted

coffee, among which, about 40 compounds are responsible for the characteristic

aroma of coffee (Belitz et al. 2009). Some of these compounds are summarized

in Table 2, showing the odorant groups that they are being categorized to

(Semmelroch et al. 1995; Czerny et al. 1999; Mayer et al. 2000).


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Table 2 Potent odorants in Arabica coffee from Colombia

Sweet/caramel-like group

Methylpropanal

2-Methylbutanal

3-Methylbutanal

2,3-Butandione

2,3-Pentandione

4-Hydroxy-2,5-dimethyl-3(2H)-furanone

(HD3F)

5-Ethyl-4-hydroxy-2-methyl-3(2H)-

furanone (EHM3F)

Vanillin

Sulfurous/roasty group

2-Furfurylthiol

2-Methyl-3-furanthiol

Methional

3-Mercapto-3-methylbutyl-formiate

3-Methyl-2-butene-1-thiol

Methanethiol

Dimethyltrisulfide

Earthy group

2-Ethyl-3,5-dimethylpyrazine

2-Ethenyl-3,5-dimethylpyrazine

2,3-Diethyl-5-methylpyrazine

2-Ethenyl-3-ethyl-5-methylpyrazine3-Isobutyl-2-methoxy-pyrazine

Smoky/phenolic group

Guaiacol

4-Ethylguaiacol

4-Vinylguaiacol

Fruity group

Acetaldehyde

Propanal

(E)-β-Damascenone

Spicy group

3-Hydroxy-4,5-dimethyl-3(5H)-furanone

(HD2F)

5-Ethyl-3-hydroxy-4-methyl-2(5H)-

furanone(EHM2F)

The non-volatile components in roasted coffee are made up of mainly the

following:


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(1) Proteins, peptides and amino acids: Crude protein content is relatively

stable during roasting, while the free amino acids decrease by 30%, with dark

roast espresso reaching up to 50% (Belitz et al. 2009). Protein content plays an

important role in espresso coffee as it affects the foamability of the beverage that

the foamability increased generally with increase total protein concentration until

a maximum value is reached (Nunes et al. 1997). The composition of the amino

acids vary dependent on their thermal stability and reactions involved. For

instance, changes in glutamic acid content are less dramatic as compared to

cysteine and arginine. The latter amino acids tend to deplete rapidly duringroasting due to their involvement in Maillard browning reactions (Illy & Viani

2005).

(2) Carbohydrates: Only traces of free mono and disaccharides in green

coffee remain after roasting. Cellulose, hemicellulose, arabinogalactan and

pectins play important roles in the retention of volatiles and contribute to coffee

brew viscosity. It is reported that in espresso coffee, the foam stability is related

to the amount of galactomannan and arabinogalactan (Nunes et al. 1997).

(3) Non-volatile lipids and lipid-solubles: Triglycerides, terpenes,

tocopherols and sterols contribute to brew viscosity. The lipid fraction tends to be

stable and survive the roasting process with only minor changes. Linoleic and

palmitic acids are the predominant fatty acids in coffee. Cafestol and kahweol are

diterpenes that degrade by the roasting process. Another diterpene, 16-O-

methylcafestol, is present in Robusta but not Arabica coffee, making it a suitable


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indicator for detecting Robusta content in coffee blend (Speer et al. 1991; Belitz

et al. 2009).

(4) Caffeine: Caffeine is of major importance with respect to the

physiological properties of coffee, and also in determining the strength, body and

bitterness of brewed coffee. The caffeine content of green coffee beans varies

according to the species that Robusta coffee contains about 2.2%, and Arabica

about 1.2%. Environmental and agricultural factors appear to have a minimal

effect on caffeine content. During roasting there is no significant loss in terms of

caffeine (Ramalakshmi & Raghavan 1999). However, caffeine content per 177

mL (6 oz) of coffee range from 50 to 143 mg, depending on the mode of

preparation(Rogers & Richardson 1993; Bell et al. 1996). Bell and others (Bell et

al. 1996) reported that more coffee solids, larger extents of grinding, and larger

volumes of coffee prepared at a constant coffee solids to water ratio led to

significantly higher caffeine content. Home-grinding yielded caffeine content

similar to that of store-ground coffee, and boiled coffee had caffeine contents

equal to or greater than filtered coffee (Bell et al. 1996).

(5) Acids: Acids are responsible for acidity, which together with aroma and

bitterness is a key contributor to the total sensory impact of a coffee beverage.

Carboxylic acids, mainly citric, malic and acetic acids are responsible for acidity

in brewed coffees. Arabica coffee brews are more acidic (pH 4.85-5.15) than

Robusta brews (pH 5.25-5.40) (Vitzthum 1975).

(6) Melanoidins: The final products of the Maillard reaction between amino

acids and monosaccharides, are the brown-coloured substances that impart to


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roasted coffee its characteristic color, possess antioxidant activity, and affect on

the flavor volatiles (Hofmann & Schieberle 2001; Del Castillo et al. 2002; Vignoli

et al. 2011).

2.5 Fourier transform infrared (FTIR) spectroscopy

FTIR spectroscopy is a powerful tool for identifying types of chemical bonds

in a molecule by producing an infrared (IR) absorption spectrum. Interferometer

is one of the key components in a FTIR spectrometer. It consists of IR light

source, fixed mirror, moving mirror, beam splitter, and detector (Figure 2). The

principle of the FTIR spectroscopy is that the beam splitter splits the light beam

from the IR source and sends half of the IR radiation to the fixed mirror and the

other half to the moving mirror. The split beams recombine to form overlapping

radiation waves that interact with the sample, resulting in an infrared spectrum.


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Figure 2 Schematic diagram of a typical FTIR spectrometer

The radiation emerging from an IR source passes through the

interferometer and to a sample before reaching a detector. Upon amplification of

signal, the data are transformed to the digital type by an analog-to-digital

converter and transferred to a computer for Fourier-transformation. FTIR

measures the absorbance of IR active species over a range of wavenumbers in

the IR region that are absorbed by a material. IR spectral regions can be divided

into three parts, which are near-IR (13000-4000 cm-1), mid-IR (4000-400 cm-1),

and far-IR (400-10 cm

-1

). The bonds involved in the near-IR are usually due to C-H, N-H or O-H stretching. Typical vibrational absorbance for common bonds in

the mid-IR is shown in Figure 3.

Figure 3 Vibrational absorbance due to common bands

Sampling methods in FTIR include transmission, reflectance, and micro-

sampling (Stuart 2003). The transmission method is based on the absorption of

IR radiation as it passes through a sample. It can be used to analyze solid, liquid,

and gaseous sample. The reflectance method can be used for samples that are


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difficult to analyze by transmission method. Attenuated total reflectance (ATR)

spectroscopy uses total internal reflection phenomenon to analyze a sample. In

many applications, it successfully replaces constant path transmission cells and

salt plates used for the analysis of liquid and semi-liquid materials. Because of

the reproducible effective path length, ATR is well suited for both qualitative and

quantitative applications. Some other spectroscopy such as specular reflectance

spectroscopy, diffuse reflectance spectroscopy, and photoacoustic spectroscopy

(PAS) are also very useful in analyzing samples. Micro-sampling method is used

for very small samples (microgram or microlitre) by the help of an IR microscope.If a microscope facility is not available, some other special sampling accessories

such as a beam condenser or a diamond anvil cell can be used (Stuart 2003).

Various FTIR techniques have been used for coffee research. For instance,

FTIR has been used for caffeine determination in roasted coffee in the mid-IR

range (Garrigues et al. 2000; Ohnsmann et al. 2002), for discrimination of coffee

varieties (Kemsley et al. 1995; Briandet et al. 1996b; Garrigues et al. 2000), and

for detection of adulteration in instant coffees by sugars, starch, or chicory

(Briandet et al. 1996a). Moreover, FTIR-ATR has been successfully used in the

analysis of brewed coffee to study the effects of roasting conditions on coffee

aroma. Lyman et al. investigated the 1800-1680 cm-1 region of IR spectrum,

which contains carbonyl vibration bands that can be used to correlate vinyl

esters/lactones, esters, aldehydes, ketones, and acids (Lyman et al. 2003).

2.6 Chemometrics


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Chemometrics can be generally described as the application of

mathematical and statistical methods to improve chemical measurement

processes, and extract more useful information from chemical and physical

measurement data (Workman et al. 1996; Paul 2006; Fu 2011).

In general, there are three categories of chemometric analysis (InfoMetrix

2010):

(1) Exploratory data analysis is often used to reveal hidden patterns in

complex data by reducing the information to a more comprehensible form, to

expose possible outliers, and to indicate whether there are patterns or trends in

the dataset. Principal component analysis (PCA) and hierarchical cluster analysis

(HCA) are some of the exploratory algorithms.

(2) Continuous property regression is used to develop calibration models

that correlate the information in a set of known measurements to the property of

interest. Partial least squares (PLS) and principal component regression (PCR)

are two algorithms commonly used for regression and are designed to avoid

problems associated with noise in the data.

(3) Classification modeling is applied in scenarios where samples are

required to be classified into predefined categories or "classes". A classification

model is used to assign a sample's class by comparing the sample to a

previously analyzed data set, for which its categories are already known. PLS

discriminant analysis (PLS-DA), k-nearest neighbor (KNN) and soft independent

modeling of class analogy (SIMCA) are some of the primary chemometric

workhorses in classification modeling.


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Among the chemometric analyses used, PCA by far is the most commonly

used. It is a linear and non-parametric pattern recognition technique which

reduces multidimensionality by correlating data to two or three dimensions (Anil

et al. 2004). The goal of PCA is to visualize the inherent data structure and reveal

how different variables change in relation to each other. This is achieved by

transforming correlated original variables into a new set of uncorrelated

underlying variables, known as principal components (PCs), using the covariance

matrix. The new variables are linear combinations of the original ones. The

principle of PCA can be illustrated using a simple dataset, where the 3 variablesneeded to describe the dataset are represented by three axes in the data-space

(Figure 4). PC1 has a direction that takes into account as much variance in the

data as possible. PC2, orthogonal to PC1, has a direction where the second

largest variance occurs. The objects are then projected down to the plane of the

two PCs. A large data-set may therefore be represented by only a few PCs,

which describe a large part of the variance in the data as a linear combination of

the original variables. PCA is very useful for solving pattern recognition problems

arising from chromatographic and spectroscopic data (Hagman & Jacobsson

1990).

On other hand, PLS is a useful multivariate regression technique for

correlating two or more blocks of data with each other, or predicting a value of

one block by using the data from the other block that is easier to measure

(Gerlach et al. 1979). PLS can handle more than one dependent variable and is

not significantly influenced by the correlation between the independent variables.


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In addition, it can tolerate missing values in the data-matrix (Geladi & Kowalski

1986). In the PLS method, X (independent) variables are related to a block of Y

(dependent) variables through a process where the variance in Y-block

influences the calculation of PCs of X-block (Hagman & Jacobsson 1990).

Figure 4 Schematic diagram of PCA analysis

Many researchers have used chemometrics to study various phenomena in

coffee. Briandet and others adopted PCA to analyze FTIR spectra of coffee

extracts. They showed that 100% correct classifications for both training and test

samples for Arabica and Robusta in Instant Coffee. They also applied PLS to

predict the relative Arabica and Robusta contents in their coffee samples by

analyzing the FTIR spectra (Briandet et al. 1996a). Bicchi and others

characterized different roasted coffees and coffee beverages by applying PCA to


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chromatographic data obtained by headspace solid phase microextraction (HS-

SPME), and the results showed that coffees from different origins can be

successfully separated (Bicchi et al. 1997). In another study, Charlton and others

applied PCA to analyze Nuclear magnetic resonance (NMR) spectra from 98

coffee samples obtained from three different producers (Charlton et al. 2002). In

their study, 99% of the samples were correctly classified accordingly to their

manufacturers. Also, blind testing of the PCA model with a further 36 samples of

instant coffee resulted in a 100% success rate in identifying the samples from the

three manufacturers.


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3 OBJECTIVES

Currently, integrated studies are lacking on elucidating the effects of bean

variety and roast degree, under different time-temperature conditions, on the

physical and chemical properties of coffee. The objectives of this study are:

To analyze coffee from different geographical origins (Colombia, Costa

Rica, Ethiopia, and Kenya) processed to medium and dark roasts, using

FTIR spectroscopy and chemometric analysis.

Developing the understanding of the effects of time-temperature

conditions on the physicochemical properties (color, moisture contents, pH,

titratable acidity, and microstructure) of coffee from Brazil.

To study the physicochemical changes (color, moisture contents, pH,

titratable acidity, and microstructure) in coffee beans at different stages of

roast using FTIR spectroscopy and chemometric analysis.


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4 FEASIBILITY STUDY ON CHEMOMETRIC DISCRIMINATION OF

ROASTED ARABICA COFFEES BY SOLVENT EXTRACTION AND

FOURIER TRANSFORM INFRARED SPECTROSCOPY

4.1 Introduction

Coffee is one of the most popular beverages in the world due to its unique

aroma, taste, and stimulating effects of caffeine. The quality of brewed coffee is

affected by many parameters. Depending on the species (Arabica, Robusta, or

Liberica) and method used to process the coffee cherries (dry vs wet), the overall

quality and chemical composition of coffee bean can vary considerably. By and

large, the Arabica coffees have more pronounced and finer flavor profiles that are

considered better quality and, accordingly, command a higher price than the

Robusta and Liberica coffees (Davis 2001). The composition of the soil and its

fertilization, the altitude and weather of the plantation, and the final cultivation

and drying methods used will all affect the green bean quality (Costa Freitas &

Mosca 1999). Roasting, the final processing step before grinding and brewing,

ultimately determines the organoleptic properties of the coffee beverage. During

the roasting process, the reactions that occur in the coffee bean are complex and

strongly dependent on the time-temperature profile used (Lyman et al. 2003;

Baggenstoss et al. 2008).

Grading of whole roasted coffee beans is relatively easy as compared to

ground coffee due to the presence of visual clues in the former (size, shape,

defect, etc.). By contrast, these indicators are absent for ground coffees;


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infrared spectral data of these extracts, in conjunction with PCA and SIMCA, to

discriminate four Arabica ground coffees from different origins (Colombia, Costa

Rica, Ethiopia, and Kenya) that had been roasted to two roast degrees (medium

or dark).

4.2 Materials and Methods

4.2.1 Chemicals

Hexane was purchased from Sigma-Aldrich Ltd. (St. Louis, MO).Dichloromethane, ethyl acetate, acetone, and acetic acid were purchased from

Fisher Scientific (Ottawa, Canada). Ethanol was purchased from Greenfield

Ethanol Inc. (Brampton, Canada).

4.2.2 Coffee Beans and Roasting Conditions

Wet-processed green coffee beans (Arabica variety) from Colombia, Costa

Rica, Kenya, and Ethiopia were purchased from Green Beanery (Toronto,

Canada). Green coffee beans (45 g) were roasted in a fluidized bed hot air

roaster (Fresh Roast SR 500, Fresh Beans Inc., Park City, UT). Two isothermal

roasting programs were used for preparing dark and medium roast coffees

(Figure 5). The roasted beans were stored in hermetic glass bottles in the dark at

15°C before grinding.


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Figure 5 Air temperature (in roast chamber) profiles of the fluidized bed hot air

coffee roaster

4.2.3 Degree of Roast as Determined by Color Measurements

Roasted coffee beans were ground using a coffee grinder (Bodum Antigua

Electric Burr Grinder, Bodum, Inc., Copenhagen, Denmark) at the medium grind

setting. The color of the ground coffee was measured in the L*, a*, b* system

using a Konica Minolta CM-3500d spectrophotometer (Konica Minolta Sensing,

Inc., Osaka, Japan) in the reflectance mode. Before analysis, the instrument was

calibrated on a white standard tile. Measurements were taken in triplicate.

4.2.4 Solvent Extraction of Ground Coffee

After grinding, coffee grounds were extracted with dichloromethane, ethyl

acetate, hexane, acetone, ethanol, or acetic acid, following two extraction

25

50

75

100

125

150

175

200

225

250

0 50 100 150 200 250 300 350 400 450 500 550

R o a s t i n g T e m p e r a t u

r e ,

o C

Roasting Time, S

Medium roast profile

Dark roast profile


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procedures. In the first procedure (method #1), 0.2500 g of ground coffee was

accurately weighed into a glass vial, and 1 mL deionized water was added to wet

the sample. The glass vial was shaken for 1 min with an IKA-VIBRAX-VXR

vibrator (Janke & Kunkel, Inc., Staufen, Germany) at the 200 dial setting; 1 mL of

organic solvent was added and the mixture was shaken for an additional 5 min.

The organic phase was then transferred to another vial and allowed to rest for 10

min before ATR-FTIR analysis. In the second procedure (method #2), a similar

procedure was used except that water was not added prior to solvent extraction.

All extractions were performed in triplicate.

4.2.5 ATR-FTIR Analysis

The coffee extract was scanned using an FTIR spectrometer (IR Prestige-

21; Shimadzu Corp., Tokyo, Japan) equipped with a deuterated triglycine sulfate

detector and a KBr beam-splitter. A MIRacle ATR accessory equipped with a

diamond crystal (Pike Technologies, Madison, WI) was used for sampling. The

background spectrum was collected using an empty ATR cell. To collect each IR

spectrum, coffee extract (6 μL) was placed onto the ATR crystal, and the solvent

was allowed to evaporate until no further changes through consistently controlling

evaporation time during the experiment in IR spectrum were observed. This

technique removed interference from the solvent signals and increased the

sensitivity of chemometric analysis. The times required for complete evaporation

of solvent were different due to the different solubilities of each solvent in water.

Samples were scanned from 600 to 4000 cm−1 at 4 cm−1 resolution. Each

spectrum was an average of 20 scans. For each extract, 3 FTIR spectra


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replicates were scanned. Between samples, the ATR crystal was carefully

cleaned with 95% (v/v) aqueous ethanol solution, and dried with lint-free tissue

paper. The spectral baseline was examined visually to ensure that no residue

from the previous sample was retained on the crystal. All spectra were recorded

at room temperature (23 ± 0.5 °C).

4.2.6 Data Analysis

Statistical comparison of color values of ground coffee samples was

conducted based on Tukey pairwise comparisons using R software (www.r-

project.org). For chemometric analysis, FTIR spectra were exported as ASCII

format, organized in Excel spreadsheets, and then analyzed using Pirouette v.4.0

software (Woodinville, WA). During PCA, second derivative and mean-center

were applied to FTIR spectra to reduce baseline variation and enhance spectral

features. Nine spectra (3 extracts for each coffee and 3 replicate spectra for each

extract) for each coffee were divided into two groups: 6 spectra from the first two

extracts were used to calibrate the SIMCA model, while the remaining 3 spectra

from the third extract were used for validation to evaluate the prediction accuracy

of the calibrated SIMCA model. The optimum number of PCs in each class was

selected on the basis of the lowest number of PCs giving minimum value of

variance.

4.3 Results and Discussions


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while hexane, ethyl acetate, acetone, ethanol, and acetic acid phases were on

top (Figure 6). Three layers (solvent, water, ground coffee phases) were

observed when dichloromethane, hexane, and ethyl acetate were used as a

solvent because they were immiscible or slightly soluble in water. The three

layers observed were likely caused by the different densities of ground coffee,

water, and solvent. However, for acetone, ethanol, and acetic acid extractions,

only two phases were observed since these solvents were miscible with water.

For coffee extracted by method #1, coffee grinds were all in one layer. On the

other hand, in the presence of organic solvent alone (Method #2), the extractlayers were hazy, and tended to contaminate with grind particulates. This may be

due to the fact that when the samples were wetted with water, the entrapped air

in the ground coffee matrices was readily displaced by the solvents, thereby

reducing the buoyancy of the grind particulates.

Table 3 Physical properties of the investigated solvents (Pagni 2005)

SolventSolubility in water, at

20°C

Polarity

index (P)

Density,

g/mL

Dichloromethane Immiscible (1.3 v/v) 3.1 1.326

Hexane Immiscible(0.0013 v/v) 0.1 0.659

Ethyl acetate Slightly soluble (8 v/v) 4.4 0.895

Acetone Miscible (infinitely) 5.1 0.786

Ethanol Miscible (infinitely) 5.2 0.789

Acetic acid Miscible (infinitely) 6.2 1.049


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Table 4 Evaporation time of the coffee extracts

Evaporation time (s)

Solvent With H2O No H2O

Dichloromethane extract 60 60

Hexane extract 60 60

Ethyl acetate extract 180 180

Acetone extract 600 60

Ethanol extract 760 280

Acetic acid extract 840 780

Selected FTIR spectra of solvent extracts obtained by methods #1 (with

water) and #2 (no water) are shown in Figure 7. The 3100 to 2750 cm -1 region in

the majority of spectra (except acetic acid, acetone, and ethanol extracts

obtained with extraction method #1) were typical for the fatty acid moiety of lipids

due to asymmetrical C-H stretching (2920 cm-1), symmetrical C-H stretching

(2850 cm-1), and methylene asymmetrical stretching band (weak shoulder at

2954 cm-1) (Innawong et al. 2004). In the presence of water, the absorbance

around 3676-3028 cm-1 for acetic acid, acetone, and ethanol extracts can be

attributed to the O-H stretching band. The 1800 –800 cm-1 region contained

absorbance bands due to C=O (ester, aldehydes, and ketones) stretching, C-H


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(methylene) bending (scissoring), and C-O (esters and alcohol), CH2

stretching/bending (Innawong et al. 2004). These regions contained fingerprint

information that may be important for discriminating coffee samples from different

origins.

Spectra from method #1 extracts were relatively more complex than those

from method #2 extracts, especially when dichloromethane and ethyl acetate

were used for extraction. For instance, dichloromethane extract from method #1

resulted in many additional peaks that were absent for those from method #2,

including 1487 cm

-1

(C=C, C-H deformation), 1398 cm

-1

(CH3 symmetricdeformation), 1323 cm-1 (symmetric vibrations of COO- groups), and 1284 cm -1

(Amide III band components of proteins) (Movasaghi et al. 2008). In terms of

band shape and intensity, different spectral features were observed in the 1720-

1203 and 1064-940 cm-1 regions. With method #1, water-induced swelling of the

coffee particles might have facilitated the extraction of additional compounds. A

similar enhancement in spectral features was observed for the dichloromethane

and ethyl acetate coffee extracts. For the hexane and acetic acid extracts,

minimal spectral differences were observed between methods #1 and #2. The IR

spectra of the hexane extracts were similar to lipid (Hennessy et al. 2009)

indicating that lipids may be the main components extracted when hexane was

used as a solvent. Overall absorbance values were considerably stronger for the

acetone and ethanol extracts probably due to the contribution from water present

in the extracts. The spectra of acetic acid extracts and pure acetic acid were

similar (data not shown), indicating that acetic acid is not an effective solvent for


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Tukey pairwise comparison analysis (Table 6) confirmed that differences in L*

values were not significant between ground samples for dark or medium roasted

beans, implying that samples from the same degree of roast exhibited the same

lightness.

Table 5 L* Value of Roasted Ground Arabica Coffee Beans

Roast degree Coffee bean sample Lightness [L*]

Dark Colombian 19.83 ± 0.05

Costa Rican 19.61 ± 0.18

Ethiopian 19.46 ± 0.21

Kenyan 19.72 ± 0.06

Medium Colombian 25.21 ± 0.16

Costa Rican 25.35 ± 0.29

Ethiopian 25.64 ± 0.06

Kenyan 25.28 ± 0.09


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Table 6 Turkey method for L* value comparisons

Comparison95% SCI

(Dark roast)

95% SCI

(Medium roast)

Different

from 0?

Colombian VS. Costa Rican (-0.176, 0.616) (-0.326, 0.866) No

Colombian VS. Ethiopian (-0.026, 0.766) (-0.036, 0.896) No

Colombian VS. Kenyan (-0.286, 0.506) (-0.396, 0.536) No

Costa Rican VS. Ethiopian (-0.246, 0.546) (-0.176, 0.756) No

Costa Rican VS. Kenyan (-0.286, 0.506) (-0.396, 0.536) No

Ethiopian VS. Kenyan (-0.136, 0.656) (-0.106, 0.826) No

Dark roast: MSE = 0.022908, HSD (t, αF) = 0.396; Medium roast: MSE = 0.03175,

HSD (t, αF) = 0.466

4.3.3 PCA Analysis of Solvent Extracts of Coffee Beans

Typical FTIR spectra of dichloromethane extracts (method #1) of dark roast

coffee beans from various regions are presented in Figure 8. As shown, although

variances between spectra exist, the differences are subtle and data

interpretation is difficult. To extract relevant information from the data, PCA was

employed to reduce the dimensionality of the IR spectra and facilitate the

visualization of the inherent structure of the dataset (Figures 9 and 10).


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Figure 8 Selected FTIR spectra of dark roast coffee extract obtained with

dichloromethane as a solvent (using method 1#)

75010001250150017502000225025002750300032503500375040001/cm

-0

0.02

0.04

0.06

0.08

0.1

0.12

0.14

0.16

Abs

HIGH T-COLOM2-2HIGH T-KENYA 1-1

HIGH T-ETHIOPIAN 1-1HIGH T-COSTA 1-1

FTIR Measurement

Costa Rican

Colombian

Kenyan

Ethiopian


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Figure 9 PCA of FTIR data for hexane, dichloromethane, ethyl acetate, and acetone extracts of medium roast coffee.

Row A: Two-factor score plots. Row B: Loading plots of PC1. Row C: Corresponding FTIR raw spectra

A

B

C

-0.003

-0.002

-0.001

0.000

0.001

0.002

-0.010 -0.005 0.000 0.005 0.010

2 n d P r i n c i p a l C o m p o n e n t

1st Principal Component

Colombian Costa Rican Ethiopian Kenyan

Hexane Extract

-0.003

-0.002

-0.001

0.000

0.001

0.002

-0.005 -0.003 0.000 0.003 0.005




Dichloromethane Extract

-0.003

-0.002

-0.001

0.000

0.001

0.002

-0.005 -0.003 0.000 0.003 0.005




Ethyl acetate Extract

-0.002

-0.001

0.000

0.001

0.002

-0. 003 -0 .00 2 -0. 001 0. 000 0. 001 0. 002




Acetone Extract

-0.15

-0.05

0.05

0.15

0.25

8001600240032004000

PC 1 Loading (89.4%)

-0.15

-0.05

0.05

0.15

0.25

8001600240032004000

PC 1 Loading (24%)

0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

2850

1741 1678

0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

16681548

1028

0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

Wavenumber, cm-1

2850

2920

1741 1726

-0.15

-0.05

0.05

0.15

0.25

8001600240032004000


0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

2920

2850

1236

1550

16431697

1743

-0.15

-0.05

0.05

0.15

0.25

8001600240032004000



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Figure 10 PCA of FTIR data for hexane, dichloromethane, ethyl acetate, and acetone extracts of dark roast coffee. Row

A: Two-factor score plots. Row B: Loading plots of PC1. Row C: Corresponding FTIR raw spectra

Hexane Extract

Ethyl acetate Extract

-0.003

-0.002

-0.001

0.000

0.001

0.002

-0.010 -0.005 0.000 0.005 0.010




-0.15

-0.05

0.05

0.15

0.25

8001600240032004000


-0.002

-0.001

0.000

0.001

-0.002 -0.001 0.000 0.001 0.002




-0.15

-0.05

0.05

0.15

0.25

8001600240032004000

PC 1 Loading (60%)

-0.002

-0.001

0.000

0.001

0.002

-0.004 -0.002 0.001 0.004




-0.002

-0.001

0.000

0.001

0.002

-0.010 -0.005 0.000 0.005 0.010




0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

2920

2850

1741 1726

0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

1550

1683

-0.15

-0.05

0.05

0.15

0.25

8001600240032004000


0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

2920

2850

16471697

1236

1550

1741

-0.15

-0.05

0.05

0.15

0.25

8001600240032004000


0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

1514

1662

1649

1481

A

B

C

Dichloromethane Extract Acetone Extract


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extracted. The polarity effect can be observed in the original spectra (Figures 9

and 10, row C). The spectral region from 3676-3028 cm-1 is mainly due to the O-

H stretching band from water. As shown, the absorbance intensity in this region

progressively became stronger for hexane, dichloromethane, ethyl acetate, and

acetone in ascending order. This result is consistent with the polarity for these

solvents.

To further investigate regions of spectra that contribute to the variance of

samples, the loading plots for a corresponding PC were inspected. Here we

focused on PC1 since it explained the maximum variance existing in the dataset

(Figures 9 and 10, row B). The percent variance accounted by PC1 was also

indicated on each loading plot. Regions of each spectrum with a relatively large

loading score (>0.1) were highlighted as red dotted lines. As shown, the loading

plots for hexane extracts were markedly different than those of the other three

solvent extracts, due to the non-polar nature of hexane. The loading plots of

hexane extracts for medium and dark roasts were similar, except that

absorbance at region 1741-1726 cm-1, which is due to C=O stretching band

mode of fatty acid esters, was higher and wider in the medium roast compared

with the dark roast coffee (Yoshida et al. 1997). For dichloromethane extracts,

the most prominent difference in loading plots for dark and medium roast coffees

was in the region of 2920-2850 cm-1

, which can be attributed to CH2

asymmetrical stretching vibrations of hydrocarbon methyl groups (Eliane

Nabedryk 1982). The medium roast coffees exhibited significant loading score

around this region, but negligible for dark roast coffees. A similar trend was


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observed for the region around 1741-1678 cm-1 The minimal changes observed

for these spectral regions for the dark roast samples could be caused by a

decrease in protein and lipids due to the Maillard reaction and pyrolytic cleavage,

respectively (De Maria et al. 1994; Yeretzian et al. 2002).

For ethyl acetate extracts, loading plots for medium and dark roast coffees

were comparable, indicating that the compounds extracted by ethyl acetate from

medium and dark roast coffees were similar, although subtle differences did exist.

The main regions that contribute to the differences between samples are 1743-

1741, 1647-1643, and 1697 cm-1. The band at 1697 cm-1 is due to isolated

carbonyl stretching of C=O bonds, and the band at 1647 cm -1 is due to

conjugated carbonyl stretching of C=O bonds of caffeine compounds (Falk et al.

1990). Garrigues et al. (Garrigues et al. 2000) and Ohnsmann et al. (Ohnsmann

et al. 2002) also utilized absorbance at 1659 and 1704 cm-1 to determine the

caffeine content in coffee and tea, respectively. In these cited studies, the C=O

bands investigated shifted to higher frequencies due to the different solvent used

(i.e., chloroform). Based on this information, it is conceivable that the separated

clusters observed were partly caused by the different caffeine contents of among

the various coffee samples.

Other important vibration bands that contributed to the separated clusters

for dichromethane extracts were at 1705 cm -1 (C=O stretching vibrations of

ketones), 1655 cm-1 (C=O stretching of caffeine compounds), 1599 cm-1 (-NH

group), and 1548 cm-1 (N-H bending of peptide groups). These bands were also

detected in ethyl acetate and acetone extracts with some shifts (1701, 1651,


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1604, and 1552 cm-1 for ethyl acetate; 1699, 1647, 1599, and 1558 cm -1 for

acetone) (Magidman 1984; Mishra & Kumar 2002). For hexane extracts, the most

prominent spectral difference between the medium and dark roast coffees is that

the latter showed a stronger overall absorbance, implying that more lipids (1600-

1700 cm-1) and fatty acid esters (1700-1800 cm-1) were being extracted from the

dark roast coffee.

4.3.4 PCA Analysis for Coffees According to Degree of Roast

Roasting results in many physical changes and chemical reactions in the

coffee beans. Depending on the extent of the roast, which is time-temperature

dependent, the quality and sensory properties of the resulting coffees can vary

considerably. Medium roast coffee has a more full-bodied flavour, a balance of

taste and aroma, and carries citrus taste. In comparison, dark roast coffee has a

heavier sweet taste, with a lingering aftertaste of chocolate (Schenker et al. 2002;

Lyman et al. 2003).

Dichloromethane and ethyl acetate extracts were tested for the

discrimination of dark and medium roast coffees. As shown in Figures 11 and 12

(Row A), two-component score plots resulted in well-separated clusters

corresponding to dark coffees (right clusters) and medium coffees (left clusters)

from the four origins. The loading plots for dichloromethane extracts showed that

all coffee samples, except the Columbian coffee, exhibited strong loading scores

at 2920, 2850, and 1743 cm-1 due to CH2 asymmetrical stretching of methyl

groups, C-H symmetrical stretching of methyl groups, and C=O stretching of


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aliphatic esters (Hennessy et al. 2009; Wang et al. 2009). For the Colombian

coffee, the bands that correspond to significant loading scores at 1550, 1510,

and 1481 cm-1 can be attributed to N-H bending of peptide groups, C=N

stretching of amino groups, and benzene absorption bands, respectively (Mishra

& Kumar 2002; Zhang et al. 2005; Barua et al. 2008).

For ethyl acetate extracts, the loading plots revealed that spectral regions

that contributed to cluster separation were mainly at 2850-2920 cm-1 due to CH2

asymmetrical stretching and C-H symmetrical stretching of methyl groups

(Hennessy et al. 2009) as well as 1650-1750 cm -1 due to C=O stretching

vibrations and C=N stretching (Paradkar & Irudayaraj 2002). For coffee, this

region has been assigned to a number of important compounds, including

aromatic acids (1700-1680 cm-1), aliphatic acids (1714-1705 cm-1), ketones

(1725-1705 cm-1), aldehydes (1739-1724 cm-1), and aliphatic esters (1755-1740

cm-1) (Bellamy 1975; Keller 1986; Socrates 1994). Absorbance in the 2850-2920

cm-1 region was mainly due to lipids (Hennessy et al. 2009).

Overall, roasting coffee from a medium to a dark degree causes increases

in esters/lactones (1788 cm-1), aldehydes/ketones (1739-1722 cm-1), ketones

(1725-1705 cm-1), aromatic acids (1700-1680 cm-1), and aliphatic acids (1714-

1705 cm-1), but a decrease in caffeine content (1700-1692 cm-1, and 1647-1641

cm-1) (Lyman et al. 2003; Movasaghi et al. 2008; Wang et al. 2009). Others have

also observed decreases in the amount of lipids (around 1736, 1740, 1745, and

1750 cm-1), polysaccharides and hemicelluloses (1739 cm -1), esters (1751-1740


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cm-1), and lipids/proteins (2935-2847 cm-1) (Lyman et al. 2003; Movasaghi et al.

2008; Wang et al. 2009).


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Figure 11 PCA of FTIR data for dichloromethane extracts of coffee (from the same origin) with two degrees of roast. Row

A: Two factor score plots. Row B: Loading plots of PC1. Row C: Corresponding FTIR raw spectra

-0.002

-0.001

0.000

0.001

0.002

-0.003 -0.001 0.001 0.003



Dark roast Medium roast

-0.002

-0.001

0.000

0.001

0.002

-0.003 -0.001 0.001 0.003




-0.002

-0.001

0.000

0.001

0.002

-0.003 -0.001 0.001 0.003




-0.002

-0.001

0.000

0.001

0.002

-0.003 -0.001 0.001 0.003





A

-0.1

0.0

0.1

0.2

8001600240032004000

PC 1 loading (75.9%)

-0.1

0.0

0.1

0.2

8001600240032004000


-0.1

0.0

0.1

0.2

8001600240032004000


-0.1

0.0

0.1

0.2

8001600240032004000


B

0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

1481

1510

1550

0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

2850

17432920

0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

2850

1743

1465

2920

1678

0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

2850

1743

1695

2920

860

829C


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Figure 12 PCA of FTIR data for ethyl acetate extracts of coffee (from the same origin) with two degrees of roast. Row A:

Two factor score plots. Row B: Loading plots of PC1. Row C: Corresponding FTIR raw spectra

C

0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

2920

2850

1741

2355-2347

16741647

0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

2928-2916

2850

1741

16741701

0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

2920

2850

1741

1674

1030

0.00

0.04

0.08

0.12

0.16

0.20

8001600240032004000

A b s o r b a n c e

Wavenumber, cm-1

2920

2850

1741

1701

1674

1647

1550

1236

-0.002

-0.001

0.000

0.001

0.002

-0.003 -0.001 0.001 0.003



Dark roast medium roast

Kenyan

-0.002

-0.001

0.000

0.001

0.002

-0.003 -0.001 0.001 0.003




Colombian

-0.002

-0.001

0.000

0.001

0.002

-0.003 -0.001 0.001 0.003




Costa Rican

-0.002

-0.001

0.000

0.001

0.002

-0.003 -0.001 0.001 0.003


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