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Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
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Feedback optimization of fed-batch fermentation.

J M Modak1, H C Lim

  • 1School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907.

Biotechnology and Bioengineering
|September 1, 1987
PubMed
Summary
This summary is machine-generated.

This study optimizes fed-batch fermentation feed rates using singular control theory. The research presents a nonlinear feedback control strategy based on key fermentation variables for improved efficiency.

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Area of Science:

  • Biochemical Engineering
  • Control Theory
  • Process Optimization

Background:

  • Fed-batch fermentation is crucial for producing valuable compounds.
  • Optimizing feed rate is essential for maximizing yield and efficiency.
  • Current methods may lack dynamic adaptability.

Purpose of the Study:

  • To formulate feedback optimization of feed rate for fed-batch fermentation.
  • To develop a nonlinear control strategy using singular control theory.
  • To identify conditions for successful feedback optimization.

Main Methods:

  • Formulation using singular control theory and switching hypersurfaces.
  • Utilizing four differential balance equations for general fed-batch processes.
  • Defining a general objective function for minimization.

Main Results:

  • Feedback optimization realized as a nonlinear function of state variables (cell mass, substrate, product, volume).
  • Restrictions on initial conditions, kinetics, and objective function identified.
  • Switching curves constructed using lysine and alcohol fermentation models.

Conclusions:

  • A robust nonlinear feedback control strategy for fed-batch fermentation feed rate is established.
  • The method provides a framework for optimizing various fed-batch processes.
  • Demonstrated applicability using specific fermentation examples.