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Related Experiment Videos

Unstructured model for L-lysine fermentation under controlled dissolved oxygen.

Semsi Ensari1, Joon Ha Kim, Henry C Lim

  • 1Biotechnology Development, Schering-Plough Research Institute, 1011 Morris Avenue, U-14-2-20, Union, New Jersey 07083, USA. semsi.ensari@spcorp.com

Biotechnology Progress
|August 2, 2003
PubMed
Summary
This summary is machine-generated.

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A new model predicts Corynebacterium lactofermentum batch cultivation. Fed-batch cultivation using this model increases productivity compared to traditional batch methods, especially at high substrate levels.

Area of Science:

  • Biotechnology
  • Microbial Cultivation
  • Process Modeling

Background:

  • Optimizing microbial fermentation is crucial for industrial applications.
  • Corynebacterium lactofermentum is a key industrial microorganism.
  • Controlled dissolved oxygen is essential for efficient batch cultivation.

Purpose of the Study:

  • To develop an unstructured model for Corynebacterium lactofermentum batch cultivation.
  • To predict batch experiment outcomes at varying initial substrate concentrations.
  • To evaluate the superiority of fed-batch over batch cultivation for enhanced productivity.

Main Methods:

  • Development of an unstructured mathematical model for batch culture.
  • Controlled dissolved oxygen conditions were maintained.

Related Experiment Videos

  • Extension of the batch model to a fed-batch model.
  • Application of a heuristic approach for fed-batch optimization.

    • Main Results:

    • The developed model accurately predicts batch cultivation experiments.
    • Fed-batch cultivation demonstrated increased productivity compared to batch operation.
    • High substrate concentrations benefit significantly from fed-batch strategies.

    Conclusions:

    • The unstructured model effectively simulates Corynebacterium lactofermentum batch fermentation.
    • Fed-batch cultivation, optimized via the model, offers superior productivity.
    • This approach is particularly advantageous for processes requiring high substrate concentrations.