FOODSIM'2016, April 3-7, 2016, Catholic University Leuven, Ghent, Belgium, Tutorial

Conference Tutorials

Predictive Modelling under Dynamic Conditions in Food Processing Environments

	Vasilis P. Valdramidis Department of Food Studies and Environmental Health Faculty of Health Sciences University of Malta, Msida, Malta
	Kirk Dolan Department of Food Science & Human Nutrition Department of Biosystems & Agricultural Engineering Michigan State University East Lansing, USA
	Dries Telen and Jan F.M. Van Impe Katholieke Universiteit Leuven - Department of Chemical Engineering - BioTeC Ghent, Belgium

Abstract

Commercial thermal and non-thermal processes for food are dynamic, where temperature, water activity, and other variables can change with time. Process design requires knowing the parameters of microbial mathematical models describing the dynamic processes. However, most research to obtain the parameters is performed under simulated constant conditions. The objective of this session is to address some of the recent developments to model microbial dynamics of food processes describing examples on how to perform inverse (parameter estimation) problems for a number of different primary-secondary models. Therefore, appropriate experimental designs, such as optimal experimental design, parameter identification under dynamic conditions, and properly statistical indices to discriminate among models is discussed.

You can download the full tutorial here in pdf format.