The landscape of mathematical model‐based understanding of microbial food safety is wide
and deep, covering interdisciplinary fields of food science, microbiology, physics, and …

Abstract Description of microbial cell (population) behavior as influenced by dynamically
changing environmental conditions intrinsically needs dynamic mathematical models. In the …

Food process models are typically aimed at improving process design or operation by
optimizing some physical or chemical outcome, such as maximizing processing yield …

Predictive modeling of microbial behavior in food is a critical tool for assessing and
mitigating potential risks in the food industry. Such models are developed based on …

Modeling has become an important and efficient tool to predict microbial behavior in food
safety and engineering. Foodborne pathogen infections, leading to foodborne illnesses and …

Highlights•Predictive modeling software, assisting food safety decision-making, has been
developed.•Stochastic models allow the description of strain and single-cell variability.• …

Predictive microbiology is a rapidly evolving field that has gained significant interest over the
years due to its diverse application in food safety. Predictive models are widely used in food …

Predictive food microbiology essentially aims at the quantification of the microbial ecology in
foods by means of mathematical models. 1 These models can then be used to predict food …

Risk estimates for food‐borne infection will usually depend heavily on numbers of
microorganisms present on the food at the time of consumption. As these data are seldom …

Predicting the growth and behaviour of microorganisms in food has long been an aim in
food microbiology research. In recent years, microbial models have evolved to become more …