Digital twin development of yeast fed-batch cultures for vaccine production

Abstract

This paper reports on designing a digital twin of a yeast culture process in an industrial context. Using a rich experimental data set corresponding to different input profiles, an original dynamic model based on the assumption of cell overflow metabolism is derived. The kinetic laws are represented by smooth functions combining Monod and Jerusalimski factors, which model rate activation and inhibition, respectively. Parameter estimation is achieved following an iterative procedure including practical identifiability analyses which allow the design of informative experiments, enhancing parameter precision and accuracy.