A stochastic approach for modelling the effects of temperature on the growth rate of Bacillus cereus sensu lato
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 …
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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274177
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