Functional state modelling approach validation for yeast and bacteria cultivations.

Area of Science:

• Biotechnology
• Microbial Cultivation
• Mathematical Modeling

Background:

• Fed-batch cultivation of microorganisms like yeast (Saccharomyces cerevisiae) and bacteria (Escherichia coli) is crucial for producing valuable products.
• Accurate modeling of these complex biological processes is essential for optimization and control.
• Existing models may not fully capture the dynamic changes in microbial metabolism during cultivation.

Purpose of the Study:

• To validate the functional state modeling approach for microbial cultivation.
• To assess the model's efficacy in describing distinct physiological states during fed-batch processes.
• To verify the functional state modeling theory for both yeast and bacteria.

Main Methods:

• Distinguishing three functional states: primary product synthesis, mixed oxidative, and secondary product synthesis.
• Employing genetic algorithms for parameter identification of local models.
• Validating model adequacy using experimental data from Saccharomyces cerevisiae and Escherichia coli cultivations.

Main Results:

• The functional state modeling approach demonstrated high adequacy in describing both Saccharomyces cerevisiae and Escherichia coli cultivations.
• Simulation results confirmed the validity of local models for distinct functional states.
• The study successfully verified the functional state modeling theory for both yeast and bacteria.

Conclusions:

• The functional state modeling approach is a validated and effective tool for microbial cultivation.
• The model accurately captures key physiological states in Saccharomyces cerevisiae and Escherichia coli.
• This approach offers a robust framework for understanding and optimizing biotechnological processes.