Dynamic Model of Heat Inactivation Kinetics for Bacterial Adaptation
Author(s) -
Maria G. Corradini,
Micha Peleg
Publication year - 2009
Publication title -
applied and environmental microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.552
H-Index - 324
eISSN - 1070-6291
pISSN - 0099-2240
DOI - 10.1128/aem.02167-08
Subject(s) - adaptation (eye) , biological system , logistic function , listeria monocytogenes , function (biology) , variable (mathematics) , thermodynamics , kinetics , mechanics , computer science , biology , statistical physics , biochemical engineering , statistics , mathematics , physics , bacteria , engineering , microbiology and biotechnology , mathematical analysis , genetics , quantum mechanics , neuroscience
The Weibullian-log logistic (WeLL) inactivation model was modified to account for heat adaptation by introducing a logistic adaptation factor, which rendered its "rate parameter" a function of both temperature and heating rate. The resulting model is consistent with the observation that adaptation is primarily noticeable in slow heat processes in which the cells are exposed to sublethal temperatures for a sufficiently long time. Dynamic survival patterns generated with the proposed model were in general agreement with those of Escherichia coli and Listeria monocytogenes as reported in the literature. Although the modified model's rate equation has a cumbersome appearance, especially for thermal processes having a variable heating rate, it can be solved numerically with commercial mathematical software. The dynamic model has five survival/adaptation parameters whose determination will require a large experimental database. However, with assumed or estimated parameter values, the model can simulate survival patterns of adapting pathogens in cooked foods that can be used in risk assessment and the establishment of safe preparation conditions.
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