Kinetics of heat-induced changes in dairy products: Developments in data analysis and modelling techniques

This article describes developments in kinetic modelling of heat-induced chemical changes, protein denaturation, microbial inactivation as a tool for product and process design shelf life prediction. Computational tools like Bayesian linear nonlinear regression, multiresponse analysis, multilevel analysis are reviewed with case studies from literature on dairy products. makes uncertainty explicit pays not only attention to fitting but also prediction capacity models. Nonlinear regression obviates the need data transformation otherwise needed regression. Multiresponse methods allow build complex reaction networks. Inherent variation natural products foods is well characterised by models, achieved allowing coefficients vary different groups. paper aims show opportunities researchers propose, analyse test whilst it provide users results background information critically examine such results.