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

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 …

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 …

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

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 …

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 …

Optimal experimental design for parameter estimation (OED/PE) is a promising method to
improve parameter estimation accuracy and minimise experimental effort in the field of …

Optimal experiment design for parameter estimation (OED/PE) is an interesting technique for
modelling practices when aiming for maximum parameter estimation accuracy. Nowadays …