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Published on: November 11, 2008
Integrated Robotic Mini Bioreactor Platform for Automated, Parallel Microbial Cultivation With Online Data Handling
Benjamin Haby1, Sebastian Hans1, Emmanuel Anane1
1Institute of Biotechnology, Technische Universität, Berlin, Germany.
This study introduces an automated mini bioreactor platform for parallel cultivations. It enhances bioprocess development by improving data reliability and transferability during scale-up, reducing failure rates.
Area of Science:
- Biotechnology
- Process Engineering
- Bioprocess Development
Background:
- Industrial bioprocess development faces challenges with experimental search space limitations and data relevance from high-throughput screening.
- Current methods often yield data not directly transferable to industrial scale, leading to scale-up failures.
- Sophistication of experiments, including inputs, sensors, and analytics, impacts development efficiency.
Purpose of the Study:
- To present an automated mini bioreactor platform for enhanced bioprocess development.
- To improve the reliability and transferability of experimental data from early-stage development to industrial scale.
- To address the tradeoff between experimental throughput and process control in bioprocess optimization.
Main Methods:
- Development of an automated mini bioreactor platform for milliliter-scale parallel cultivations.
- Integration of online monitoring, advanced feeding strategies, and dual liquid handlers for operation and at-line analysis.
- Implementation of a central database for end-to-end data exchange and integrated control.
- Utilization of a model-based operation algorithm for complex cultivations, scale-down studies, and strain characterization.
Main Results:
- The platform enables parallel cultivations with online monitoring and control, mimicking industrial processes.
- Dual liquid handlers facilitate simultaneous bioreactor operation and at-line analysis.
- Integrated data management and control ensure seamless data flow and device operation.
- Model-based algorithms improve accuracy in complex cultivations and strain characterization, enhancing data reliability.
Conclusions:
- The automated mini bioreactor platform offers a solution for robust bioprocess development.
- It successfully balances experimental throughput with laboratory-scale bioreactor process control and monitoring.
- The platform significantly increases the reliability and transferability of data, mitigating scale-up risks.
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