Functional state modelling approach validation for yeast and bacteria cultivations

Abstract

In this paper, the functional state modelling approach is validated for modelling of the cultivation of two different microorganisms: yeast (Saccharomyces cerevisiae) and bacteria (Escherichia coli). Based on the available experimental data for these fed-batch cultivation processes, three different functional states are distinguished, namely primary product synthesis state, mixed oxidative state and secondary product synthesis state. Parameter identification procedures for different local models are performed using genetic algorithms. The simulation results show high degree of adequacy of the models describing these functional states for both S. cerevisiae and E. coli cultivations. Thus, the local models are validated for the cultivation of both microorganisms. This fact is a strong structure model verification of the functional state modelling theory not only for a set of yeast cultivations, but also for bacteria cultivation. As such, the obtained results demonstrate the efficiency and efficacy of the functional state modelling approach.

Modeling Suspension Cultures of Microbial and Mammalian Cells with an Adaptable Six‐Compartment Model

“…Each phase exhibits a specific behavior, which is modeled by a separate, fairly simple, local model with few parameters , . The simplicity of the local models and the small number of parameters that can be identified separately for each phase are the main advantages of these models , , . However, it still remains open as to how these models may be adapted readily to various processes with different sequences of growth and production phases.…”

“…However, the development of mathematical models is time and cost consuming owing to the complexity of biological systems [6][7][8]. Reducing the time required for model development may enhance the productivity of bioprocess design [9].…”