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Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

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Ranking bioprocess variables using global sensitivity analysis: a case study in centrifugation.

J M P King¹, N J Titchener-Hooker, Y Zhou

¹The Advanced Centre for Biochemical Engineering, Department of Biochemical Engineering, University College London, Torrington Place, London, UK. josh.king@ucl.ac.uk

Bioprocess and Biosystems Engineering

|January 20, 2007

Summary

Global sensitivity analysis helps optimize bioprocess design by identifying critical variables. This method reveals system-specific sensitivities, guiding engineers to focus on key parameters for improved bioprocessing efficiency.

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Area of Science:

Bioprocess Engineering
Chemical Engineering
Systems Biology

Background:

Bioprocess design involves complex interactions and numerous variables.
Regulatory constraints necessitate robust bioprocess design tools.
Conventional sensitivity analysis methods are insufficient for complex bioprocesses.

Purpose of the Study:

To introduce global sensitivity analysis (GSA) as a tool for bioprocess design.
To identify and prioritize key variables influencing bioprocess performance.
To demonstrate the application of GSA in optimizing operating conditions.

Main Methods:

Applied global sensitivity analysis (GSA) to identify critical variables.
Utilized two case studies based on centrifugation.
Assessed performance by measuring supernatant clarification.

Main Results:

GSA effectively determined the importance of variables and their interactions.
Identified significant differences in variable sensitivities between case studies due to feed material properties.
Demonstrated that variable sensitivities are system-specific.

Conclusions:

GSA provides valuable insights for bioprocess design and optimization.
Understanding system-specific sensitivities allows for focused optimization of operating strategies.
The approach aids in managing complexity and regulatory demands in bioprocessing.