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 …

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 …

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

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 …

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

As part of the model building process, parameter estimation is of great importance in view of
accurate prediction making. Confidence limits on the predicted model output are largely …

Building secondary models that describe the growth rate as a function of multiple
environmental conditions is often very labour intensive and costly. As such, the current …

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 …

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 …