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Optimal temperature control policy for a two-stage recombinant fermentation process.

A Hortacsu1, D D Ryu

  • 1Chemical Engineering Department, University of California, Davis 95616.

Biotechnology Progress
|November 1, 1990
PubMed
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Optimal temperature control for two-stage fermentation enhances protein production. A specific temperature profile, starting at 40.5°C and decreasing to 40.0°C, maximized the production rate in gene expression systems.

Area of Science:

  • Biotechnology and biochemical engineering
  • Genetic engineering and metabolic engineering
  • Process optimization

Background:

  • Fermentation processes are crucial for producing valuable compounds.
  • Controlling temperature is vital for optimizing gene expression and product formation.
  • Plasmid instability can limit productivity in genetically engineered systems.

Purpose of the Study:

  • To determine the optimal temperature control policy for a two-stage fermentation system.
  • To investigate the impact of temperature on gene expression and plasmid stability.
  • To maximize the average production rate of a specific protein.

Main Methods:

  • Development of a genetically structured model for product formation.
  • Utilizing kinetic equations derived from experimental data.

Related Experiment Videos

  • Comparison of constant temperature and temperature profiling control strategies, including cycling.
  • Quantification of specific gene expression rates and plasmid instability parameters.

    • Main Results:

    • The optimal temperature control policy involved operating the second stage initially at approximately 40.5°C, then decreasing to a constant 40.0°C.
    • This policy yielded the maximum average production rate.
    • A production rate of 29.7 units of protein (mg of cells)⁻¹ h⁻¹ was achieved over 180 hours of operation.

    Conclusions:

    • A precise temperature control strategy significantly enhances protein production in genetically engineered fermentation.
    • Temperature profiling, specifically a slight decrease in the second stage, is superior to constant temperature control.
    • The identified optimal policy provides a valuable guideline for industrial bioprocess optimization.