Predictive microbiology emerges more and more as a rational quantitative framework for
predicting and understanding microbial evolution in food products. During the mathematical …

It is generally known that accurate model building, ie, proper model structure selection and
reliable parameter estimation, constitutes an essential matter in the field of predictive …

The potential of mathematical models describing the microbial behavior during food
processing and storage largely depends on their predictive capabilities and, in this concern …

In predictive food microbiology, cardinal parameter models are often applied to describe the
effect of temperature, pH and/or water activity on the microbial growth rate. To identify the …

In predictive food microbiology, full factorial designs are still more the rule than the
exception, despite the huge experimental workload and cost related to this method. In this …

Predictive microbiology is mainly applied in the area of risk assessment, but unusually
regarded as a tool for the optimisation of processes, which needs the implementation of food …

Models are simplifications of the real world and they are tools to handle complex matters in
research, in product and process design, in risk analysis and in management. Furthermore …

Many sigmoidal functions to describe a bacterial growth curve as an explicit function of time
have been reported in the literature. Furthermore, several expressions have been proposed …

In this paper, optimal experimental design is applied for the characterization of the microbial
inactivation of Listeria monocytogenes under non-isothermal conditions, modelled by the …

Bioprocess modelling presents a challenging subject, which requires a meticulous
modelling strategy. During the modelling process, experimental data form a key ingredient …