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Updated: Jan 20, 2026

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Published on: October 21, 2010
Establishing a Fed-Batch Process for Protease Expression with Bacillus licheniformis in Polymer-Based
Tobias Habicher1, Edward K A Rauls1, Franziska Egidi1
1AVT-Biochemical Engineering, RWTH Aachen University, Aachen, 52074, Germany.
A novel polymer-based fed-batch microtiter plate enables reproducible, cost-efficient small-scale fermentation. This system allows for comparable conditions to industrial processes, aiding early-stage development for microbial cultures.
Area of Science:
- Biotechnology
- Microbial Fermentation
- Process Development
Background:
- Industrial fed-batch fermentation requires comparable small-scale models for early development.
- Existing laboratory equipment needs cost-efficient, easy-to-use fed-batch systems.
- A novel polymer-based controlled-release fed-batch microtiter plate offers a potential solution.
Purpose of the Study:
- To investigate fed-batch cultivations of protease-producing Bacillus licheniformis using the novel microtiter plate.
- To assess the reproducibility and scalability of the system.
- To establish and validate a mechanistic model for small-scale fed-batch cultivations.
Main Methods:
- Utilized a polymer-based controlled-release fed-batch microtiter plate for Bacillus licheniformis cultivations.
- Online monitoring of oxygen transfer rate (OTR) using a µRAMOS device.
- Investigated effects of initial biomass, filling volume, and osmotic pressure on fermentation performance.
Main Results:
- Demonstrated good reproducibility (CV of 9.2%) across multiple plates and production lots.
- Identified key parameters influencing batch/fed-batch phase duration and OTR.
- Established volumetric glucose release rate as a valid scale-up criterion for comparability between microtiter plate and shake flask systems.
Conclusions:
- The polymer-based fed-batch microtiter plate is a reproducible and effective tool for small-scale fermentation development.
- The system facilitates comparable conditions to industrial processes, aiding scale-up.
- A validated mechanistic model supports process understanding and simulation based on small-scale data.
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