MODELLING OF CHEMICAL REACTIONS IN FOODS: A MULTIRESPONSE APPROACH

The quality of foods depends on several factors. One of these factors is the occurrence of (bio)chemical changes taking place during the post-harvest period and during processing, storage and distribution. In order to optimise quality it is of utmost importance to control (bio)chemical changes as much as possible. That means that the kinetics of relevant chemical changes needs to be studied, i.e. the dependence of reaction rates on concentration of reactants and conditions such as pH and temperature. A complicating factor with foods is that reactions are not simple straightforward chemical reactions. Rather, consecutive and parallel reactions take place, each of which may have an effect on the other. For instance, if in one reaction organic acids are formed as a result of which the pH drops, this decrease in pH may have an effect on another reaction taking place simultaneously. Whenever possible, one should try to model all changes in concentrations of reactants and products in parallel and consecutive reactions that have parameters in common, i.e. multiresponse modelling, as opposed to analysing only one step at a time, i.e. uniresponse modelling (van Boekel, 1996). By applying multiresponse modelling, more realistic models and more accurate parameter estimates will be obtained and this ultimately means better control of (chemical) quality. Some implications of multiresponse modelling will be discussed here and, as an example, the concept will be applied to chlorophyll degradation in vegetables.