An Approach for Mathematical Modelling of Fed—Batch Process For L—Lysine Production

ABSTRACT

The unstructured dynamics models of fed—batch fermentation process for microbiological L -lysine production have been discussed. The linear regression models show the correlation between the basic kinetic and physical—chemical variables of the process. The appropriate experimental data transformation has been done. The aim of this transformation is emphasised in order to reach the empirical probability data distribution to the normal probability distribution. It has been a base for adequacy of the proposed linear regression models. By means of linear and nonlinear regression the structure and parameters of the specific rates are selected. The unstructured dynamic models are set. The adequacy of the proposed models is proved through simulation research.