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Profit optimization for baker's yeast fed-batch fermentation

J Yuan1, K H Bellgardt

  • 1Institute of Automatic Control, East China University of Chemical Technology, Shanghai.

Chinese Journal of Biotechnology
|January 1, 1993
PubMed
Summary
This summary is machine-generated.

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This study optimized baker's yeast (Saccharomyces cerevisiae) fed-batch fermentation profit using a combined metabolic and cell cycle model. Optimal operation regions for key variables like feeding rate and sugar concentration maximize fermentation profitability.

Area of Science:

  • Biotechnology
  • Industrial Microbiology
  • Process Optimization

Background:

  • Fed-batch fermentation is crucial for industrial yeast production.
  • Optimizing fermentation processes is key to maximizing economic viability.
  • Accurate modeling is essential for effective process control.

Purpose of the Study:

  • To develop a model-based approach for profit optimization in baker's yeast fed-batch fermentation.
  • To identify optimal operating conditions for key process variables.
  • To utilize real-world factory data for simulation and validation.

Main Methods:

  • A combined metabolic and cell cycle model of Saccharomyces cerevisiae was employed.
  • An objective function based on cost-effect balances was formulated.

Related Experiment Videos

  • Simulations were performed using data from a baker's yeast production facility.

    • Main Results:

    • The study identified specific optimal operation regions for major manipulating variables.
    • Key variables include substrate feeding rate, feed sugar concentration, aeration rate, and fermentation period.
    • Profitability is maximized when these variables operate within their identified optimal ranges.

    Conclusions:

    • Model-based optimization provides a robust strategy for enhancing baker's yeast fermentation profitability.
    • Understanding and controlling key operational parameters is critical for economic success in industrial yeast production.
    • The developed model serves as a valuable tool for guiding fermentation strategies and improving factory yields.