Time–temperature profiles of chilled ready-to-eat foods in school catering and probabilistic analysis of Listeria monocytogenes growth

Survival of <i>Listeria monocytogenes</i> during Frying of Chicken Burger Patties

“…The purpose of artificially inoculated the sample with high level of L. monocytogenes was to imitate the worst situation, in which the burger patties are becoming heavily contaminated due to proliferation of the bacteria after prolonged storage of foods at refrigerated temperature or other temperature abuse condition [13,14]. Tompkin [5] asserted that, during extended refrigerated storage for more than 35 days for example, the bacterium could multiply to potential hazardous levels in the food products, especially when the product is temperature-abused.…”

Use of Stochastic Models To Assess the Effect of Environmental Factors on Microbial Growth

“…Deterministic mathematical models (e.g., Gompertz and logistic equations) are often proposed as the true underlying "perfect" mechanism and fitted to the data via nonlinear fitting techniques (8,13,16,19,52,59). Deviations from the deterministic predictions are accounted for as observational uncer- tainty.…”

“…The stochastic ecological model proved to be useful, as it effectively explained and summarized the uncertainty seen in the recorded growth curves. Our findings have broad implications for both basic and applied research and illustrate how stochastic mathematical modeling coupled with rigorous statistical methods can be of great assistance in understanding basic processes in microbial ecology.Mathematical modeling coupled with rigorous statistical methods can be of great assistance in understanding the interaction of organisms with their physical and biological environment (8,47,48,50,52,56). Studies in the field of predictive microbiology have shown that successful modeling requires both adequate models and thorough data sets (57; for extensive reviews, see references 10, 42, and 55).…”

“…Mathematical modeling coupled with rigorous statistical methods can be of great assistance in understanding the interaction of organisms with their physical and biological environment (8,47,48,50,52,56). Studies in the field of predictive microbiology have shown that successful modeling requires both adequate models and thorough data sets (57; for extensive reviews, see references 10, 42, and 55).…”

“…In predictive microbiology a two-step modeling approach is used (reference 55 and citations therein). Primary models describe the basic rules of how microbial numbers change over time (52). Next, these simple models are used to derive secondary models that account for the effect of a set of factors in microbial growth.…”