Predictive microbiology is a relatively novel scientific field belonging to food microbiology; it
is aimed at developing mathematical models that account for the effect of intrinsic and …

Microorganisms can contaminate food, thus causing food spoilage and health risks when
the food is consumed. Foods are not sterile; they have a natural flora and a transient flora …

Ask researchers or scientists who have joined the scientific arena in the last 10 years
whether they are aware of mathematical models and, undoubtedly, most will say they have …

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 an area of applied research in food science that uses
mathematical models to predict the changes in the population of pathogenic or spoilage …

Predictive microbiology in foods is a research area within food microbiology intended to
provide mathematical models to predict microbial behavior in food environments. Although …

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 …

The levels of microorganisms in food ecosystems can be controlled by diverse factors such
as temperature, pH, water activity or preservatives, which determine their growth, survival or …

Predictive microbiology aims to predict the evolution of microorganisms in foods using
mathematical models. Several models have been published and the complexity of some of …

Food safety and quality are influenced by the presence (and possible proliferation) of
pathogenic and spoilage microorganisms during the life cycle of the product (ie, from the raw …