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Process models for production of beta-lactam antibiotics
1Institute for Chemical Engineering, University of Hannover, Germany.
Advances in Biochemical Engineering/Biotechnology
|February 20, 1998
Summary
This study presents advanced models for filamentous microorganism cultivation, enhancing penicillin and cephalosporin C production. These models improve understanding and control of industrial biotechnical processes.
Area of Science:
- Biotechnology
- Microbial Process Engineering
- Biochemical Engineering
Background:
- Filamentous microorganisms are crucial for producing valuable compounds like penicillin and cephalosporin C.
- Existing models for these biotechnical processes often lack detail for industrial-scale optimization.
- Understanding complex microbial growth and production kinetics is essential for efficient bioprocessing.
Purpose of the Study:
- To review and present advanced models for industrial cultivation of Penicillium chrysogenum (penicillin) and Acremonium chrysogenum (cephalosporin C).
- To develop models that incorporate critical aspects of industrial cultivation, including morphology and nutrient dynamics.
- To demonstrate novel approaches for process simulation, optimization, and control.
Main Methods:
- Detailed morphological description of hyphal filaments and pellets for Penicillin production modeling.
- Development of a structured segregated model for Cephalosporin C production, including a secondary carbon source (soy oil).
- Application of Iterative Dynamic Programming for feeding strategy optimization and Artificial Neural Networks for Cephalosporin C production modeling.
Main Results:
- A Penicillin production model simulating the entire process, including preculture and inhomogeneous pellet populations, enabling better process understanding and control.
- A Cephalosporin C model incorporating soy oil, with demonstrated dynamic optimization of feeding strategies.
- Exploration of Artificial Neural Networks as an alternative modeling approach for Cephalosporin C production.
Conclusions:
- The developed models offer enhanced simulation capabilities for industrial penicillin and cephalosporin C production.
- These models provide new avenues for understanding complex biotechnical process kinetics and improving process control and optimization.
- Morphological descriptions and advanced computational methods like Iterative Dynamic Programming and Artificial Neural Networks are valuable tools in microbial bioprocessing.