The mathematical models used in predictive microbiology contain parameters that must be
estimated based on experimental data. Due to experimental uncertainty and variability, they …

Kinetic models are nowadays a basic tool to ensure food safety. Most models used in
predictive microbiology have model parameters, whose precision is crucial to provide …

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 …

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

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 …

This contribution presents the bioinactivation software, which implements functions for the
modelling of isothermal and non-isothermal microbial inactivation. This software offers …

Temperature is an important food preservation factor, affecting microbial growth. Secondary
predictive models can be used for describing the impact of this factor on microbial growth. In …

The estimation of the concentration of microorganisms in a sample is crucial for food
microbiology. For instance, it is essential for prevalence studies, challenge tests (growth …

The estimation of model parameters with high precision is of major importance in
mathematical predictions. If a mathematical model is properly chosen and if the primary …

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