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Published on: December 15, 2017
Modeling, optimization, and computer control of the cephalosporin C fermentation process
1Department of Chemical & Biochemical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08855, USA.
Biotechnology and Bioengineering
|July 20, 1988
Summary
This study optimized cephalosporin C production using Cephalosporium acremonium by developing a model to find ideal pH and temperature conditions. The research identified optimal control strategies for maximizing antibiotic yield from glucose and sucrose substrates.
Area of Science:
- Microbiology and Biotechnology
- Biochemical Engineering
Background:
- Cephalosporin C is a vital antibiotic produced by Cephalosporium acremonium.
- Optimizing fermentation conditions is crucial for maximizing antibiotic yield.
- Mixed substrates like glucose and sucrose offer potential for enhanced production.
Purpose of the Study:
- To determine optimal environmental conditions (pH and temperature) for maximizing cephalosporin C production.
- To develop a predictive model for cell growth and antibiotic synthesis.
- To apply optimal control theory for enhanced antibiotic yield.
Main Methods:
- Utilized Cephalosporium acremonium (ATCC 36225) in a mixed glucose-sucrose substrate.
- Developed a mathematical model for cell growth and cephalosporin C production.
- Employed Pontryagin's maximum principle for optimal control strategy determination.
Main Results:
- Experimental evaluation of model parameters at various pH and temperatures.
- Prediction of optimal temperature and pH control profiles.
- Demonstrated a method for maximizing antibiotic production through controlled fermentation.
Conclusions:
- Optimal control strategies can significantly enhance cephalosporin C production.
- Mathematical modeling and optimal control are powerful tools in fermentation optimization.
- The study provides a framework for improving antibiotic manufacturing processes.
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