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Activity Number:
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231
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Type:
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Contributed
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Date/Time:
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Monday, August 3, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Consulting
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| Abstract - #305724 |
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Title:
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A Case Study of Fitting and Comparing Nonlinear Parameters for Predicting Poultry Contamination
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Author(s):
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Andy Mauromoustakos*+ and Min Li
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Companies:
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University of Arkansas and University of Arkansas
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Address:
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101 AGRX , Fayetteville, AR, 72701,
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Keywords:
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Weibul model ; nonlinear ; survival ; JMP
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Abstract:
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Contamination of Listeria monocytogenes in ready-to-eat (RTE) poultry products poses potential risk of listeriosis to the public health. To control the level of Listeria contamination, attention has been focused on the postpackage pasteurization of fully-cooked poultry products. In this case study, we sought to develop a model to predict the thermal inactivation of L. monocytogenes in chicken drumettes during postpackage hot water pasteurization. Fully-cooked chicken drumettes inoculated with Listeria innocua were vacuum-packaged and treated in a hot water bath at 60, 70, 80 and 90ºC for different heating times at each temperature. Weibull model was used to fit the survival curves of L. innocua at each heating temperature using JMP and comparison of the important nonlinear parameters will also be discussed.
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