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Published on: September 28, 2018
Application of an improved continuous parallel shaken bioreactor system for three microbial model systems
Ali Akgün1, Carsten Müller, Ramona Engmann
1Biochemical Engineering, RWTH Aachen University, Sammelbau Biologie, Worringerweg 1, 52074 Aachen, Germany.
A novel continuous parallel shaken bioreactor offers precise control and efficient data collection for microbial fermentation studies. This system enables accurate prediction of microbial growth and metabolite formation under varying conditions with reduced media consumption.
Area of Science:
- Biotechnology
- Biochemical Engineering
- Microbial Fermentation
Background:
- Shaken bioreactors offer simplicity, while continuous fermentation allows steady-state control.
- Integrating these systems presents an opportunity for enhanced bioprocess monitoring and optimization.
- Accurate geometric precision in bioreactor design is crucial for reproducible results.
Purpose of the Study:
- To develop and evaluate a continuous parallel shaken bioreactor system for microbial studies.
- To assess the system's performance in predicting microbial growth and metabolite formation.
- To compare the efficiency of the new system with conventional bioreactors.
Main Methods:
- A novel quartz glass continuous parallel shaken bioreactor with <1 mm geometric accuracy was manufactured.
- Facultative anaerobic bacterium *C. glutamicum* and Crabtree-negative yeast *P. stipitis* were used as model systems.
- The system's performance was compared to a conventional 1-L bioreactor using *S. cerevisiae*.
Main Results:
- The transition from non-oxygen to limited conditions was precisely predicted based on dilution rate.
- The continuous parallel shaken bioreactor yielded comparable results to conventional bioreactors.
- The new system provided more data points in less time and consumed significantly less culture media.
Conclusions:
- The continuous parallel shaken bioreactor system effectively combines advantages of shaken and continuous fermentation.
- The system allows for precise prediction of microbial behavior under varying oxygen availability and dilution rates.
- This technology offers a more efficient and resource-sparing approach for microbial fermentation research.
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