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Optimal control of a semibatch fermentation

H Ohno, E Nakanishi, T Takamatsu

    Biotechnology and Bioengineering
    |June 1, 1976
    PubMed
    Summary
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    This study optimized amino acid production using semibatch fermentation. Green's theorem determined the optimal substrate feed rate, maximizing lysine production by an auxotrophic mutant.

    Area of Science:

    • Biochemical Engineering
    • Microbial Fermentation
    • Metabolic Engineering

    Background:

    • Semibatch fermentation is a key bioprocess for producing valuable compounds like amino acids.
    • Optimization of fermentation parameters is crucial for maximizing product yield and economic viability.
    • Lysine production using microbial fermentation is significant for animal feed and human nutrition.

    Purpose of the Study:

    • To optimize the semibatch fermentation process for enhanced amino acid production.
    • To determine the optimal substrate feed rate for maximizing the production rate of lysine.
    • To apply Green's theorem as a novel method for fermentation process optimization.

    Main Methods:

    • Utilized a semibatch fermentation system for lysine synthesis.

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  • Employed an auxotrophic mutant strain for targeted amino acid production.
  • Applied Green's theorem to the mathematical model of the fermentation process to identify optimal conditions.
  • Main Results:

    • Successfully determined the optimal substrate feed rate for the semibatch fermentation.
    • Achieved maximization of the production rate for the desired amino acid (lysine).
    • Demonstrated the efficacy of Green's theorem in optimizing bioprocesses.

    Conclusions:

    • Green's theorem provides an effective mathematical approach for optimizing semibatch fermentation.
    • The identified optimal feed rate significantly enhances lysine production efficiency.
    • This optimization strategy holds potential for improving the industrial production of amino acids.