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Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
Published on: December 15, 2017
Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
Johannes Hemmerich1, Lars Freier1, Wolfgang Wiechert2
1IBG-1: Biotechnology, Forschungszentrum Jülich; Research Center Jülich, Bioeconomy Science Center (BioSC).
Optimizing microbial cultivation media is crucial for industrial biotechnology. This study presents a protocol using Design of Experiments (DOE) and advanced mathematical methods for efficient bioprocess optimization, enhancing product yield.
Area of Science:
- Industrial Biotechnology
- Bioprocess Engineering
- Microbial Physiology
Background:
- Strain engineering and bioprocess optimization are key in industrial biotechnology.
- Cultivation medium composition significantly impacts microbial production of target products.
- Standard media recipes are often used due to the complexity of tailor-made media design.
Purpose of the Study:
- To present a generic, adaptable protocol for optimizing microbial cultivation media.
- To facilitate efficient bioprocess development through rational data analysis and experimental design.
- To enable improved recombinant protein production in microbial systems.
Main Methods:
- Utilized microbioreactor technology for high-throughput cultivation.
- Employed lab robotics for reliable liquid handling.
- Applied advanced mathematical methods and the Kriging Toolbox (KriKit) for Design of Experiments (DOE).
Main Results:
- Demonstrated a systematic approach to media optimization for enhanced bioprocess performance.
- Showcased the adaptability of the protocol to various lab equipment, hosts, and targets.
- Highlighted the capability for multi-objective optimization, including yield and production rate.
Conclusions:
- The presented protocol offers a robust framework for holistic bioprocess optimization in industrial biotechnology.
- Efficient media design using DOE tools like KriKit can significantly improve microbial production systems.
- This approach streamlines bioprocess development, leading to better product yield and quality.
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