A stochastic approach for modelling the effects of temperature on the growth rate of Bacillus cereus sensu lato

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ID: 274177
2021
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Abstract
A stochastic model that predicts the maximum specific growth rate (μmax) of Bacillus cereus sensu lato as a function of temperature was developed. The model integrates the intra-species variability by incorporating distributions of cardinal parameters (Tmin, Topt, T …
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Authors Le Marc Y;Buss da Silva N;Postollec F;Huchet V;Baranyi J;Ellouze M;;
Journal International journal of food microbiology
Year 2021
DOI
DOI not found
URL
http://www.ncbi.nlm.nih.gov/pubmed/34022612
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE humans pubmed abstract nih national institutes of health national library of medicine models Phylogeny Temperature risk assessment species specificity biological* food microbiology stochastic processes pmid:34022612 doi:10.1016/j.ijfoodmicro.2021.109241 yvan le marc nathália buss da silva mariem ellouze bacillus cereus / classification bacillus cereus / growth & development* infant formula / microbiology

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