Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain...

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Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University

Transcript of Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain...

Page 1: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment

Don Schaffner, PhD Siobain Duffy

Food Risk Analysis InitiativeRutgers University

Page 2: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

What is QRA?

• A blend of published scientific literature, and expert opinion linked together by computer simulation

• An organized warehouse of data collected on a certain topic

• A summary of the influence of specific factors on the overall safety of a product

• A science-based, cost-effective way to estimate risk

Page 3: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

Why QRA?

• Quantitative results• Combines data from many

different labs, experiments• Incorporates variability and

uncertainty• Customizable for individual

producer’s needs• QRA can help to identify

HACCP Critical Control Points

Page 4: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

What can be part of a QRA?

• Pre-harvest conditions– manure, animal contamination, drops,

fruit fly transmission, cultivars

• Processing– flume water, washing, brushing,

equipment contamination, pasteurization, human and storage bin contamination

• Storage Conditions– preservatives, temperature,

freeze/thaw cycles, time to sale

Page 5: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

The end results of a QRA

• Conceptual framework for thinking about the problem

• Dynamic model of a particular food processing and storage system

• Sensitivity analysis, i.e. what factors are important

• Avenues of future research

Page 6: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

The User Interface

pull down menushidden modelresult button

Model

Number of cows in orchard in previous month 0

Number of deer in orchard in previous month 0

Number of dogs in orchard in previous month 0

Number of horses in orchard in previous month 0

Number of pigs in orchard in previous month 0

Number of sheep in orchard in previous month 0

Orchard near landfill or ocean? yes

How many acres is the orchard? 10

How many apples/acre? 1.504M

Do you flash, UV or heat pasteurize or irradiate with a dose of 1.8 kGy or greater? no

Is the cider held at refrigeration conditions or room temperature? refriger

Do you use .1% Sodium Benzoate, .1% Potassium Sorbate, or both? No Pres

Is the orchard manured with animal waste? yes

How many apples are pressed in a single batch? 20K

How many gallons are produced in a single batch? 500

What % drops (windfalls) do you use? 0

What concentration of Chlorine do you use in your wash water? (in ppm) 0

number of E.coli O157:H7 in a gallon of cider in logs Calc

Does the cider undergo a freeze/thaw step? no

Do you recycle your flume water? no

What % of your processing equipment is made of wood? 100

What % of your processing equipment is made of stainless steel? 0

Do you clean your equipment daily? no

Which sanitizer do you use? none

How many hours do you hold it there? 12

pH of the cider? 3.3

The holding temperature? 4

Page 7: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

The Modules• Birds contaminate tree-

picked apples

• Animals in the orchard influence CFUs on drops

• Flume water, chlorine rinses vary the pre-pressing microbial counts

• Use of sanitizers on equipment control O157

• Pasteurization, freeze-thaw and preservatives all reduce bacterial counts

GroundAnimals

FlyingAnimals

OrchardConditions

PostpressingProcessing

Equipment

Washing

Page 8: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

A look under the hood, part 1

D.W. Dingman, J.Food Protect. 62, 567 (1999).

L. Garland-Miller, C.W. Kaspar, J.Food Protect. 57, 460 (1994).

G.J. Leyer, L.-L. Wang, E.A. Johnson, Appl.Environ.Microbiol. 61, 3752 (1995).

A.M. Roering, et al, Int.J.Food Microbiol. 46, 263 (1999).

T. Zhao, M.P. Doyle, R.E. Besser, Appl.Environ.Microbiol. 59, 2526 (1993).

• Refrigeration (4-8 °C) of cider contaminated with E. coli O157:H7– Decreases (and

occasionally increases) in O157 counts per day from all papers

– Summarized as a histogram

– Fit with a statistical distribution

Page 9: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

A look under the hood, part 1• Uses Excel and Bestfit

software programs• Distribution describes

the log change occurring in a single day

• Change per day is simulated over the shelf life of the cider

Page 10: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

A look under the hood, part 2

• Freeze-Thaw Cycles– Uljas and Ingham

(JFP, 5/99)– Polynomial

regression (SAS) to create model

– freeze/thaw, holding temperature, time and pH on log reduction of O157:H7

Variable Parameter P value

INTERCEPT 69.59985789 0.0036TEMP -0.04081142 0.0003PH -44.94493941 0.0007HOURS -0.36421373 0.0011PH2 6.77622727 0.0002HOURS2 0.01875504 0.0317

R2 = 0.8914

Page 11: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

Simulation

• Analytica uses Monte Carlo simulation to run a user-defined number of iterations on the conditions specified

• Graphical output or statistics on CFU E. coli O157:H7 on day of sale in a gallon of cider

• Can be run by any person who could download the free Analytica reader and our simulation

Page 12: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

*Assuming birds infected with O157:H7, animal manure used, no chlorine rinse, No freeze-thaw cycle, no preservative used, no cleaning or sanitizing of equipment

Page 13: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

Future Research

• Real-life studies to ascertain realistic levels of contamination

• More accurate distributions for all variables, as more data are collected

• Validation?

Page 14: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

Summary

• A risk assessment is only as good as the data it models– O157: H7 in cow manure vs. – Brushing of apples

• This risk assessment is a good start, but it’s only the first step– Peer review– More data, better data

Page 15: Escherichia coli O157:H7 in Apple Cider: A Quantitative Risk Assessment Don Schaffner, PhD Siobain Duffy Food Risk Analysis Initiative Rutgers University.

“All models are wrong… but some

are useful.”

- G. Cox