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Related Experiment Videos

Visualizing integrated bioprocess designs through "windows of operation".

Y H Zhou1, N J Titchener-Hooker

  • 1The Advanced Centre for Biochemical Engineering, Department of Biochemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK. y.zhou@ucl.ac.uk

Biotechnology and Bioengineering
|October 12, 1999
PubMed
Summary

This study introduces a graphical method for designing bioprocess flowsheets, optimizing fermentation and disruption conditions to improve cell debris removal and process productivity.

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Area of Science:

  • Biochemical Engineering
  • Process Systems Engineering
  • Biotechnology

Background:

  • Integrated bioprocess design requires managing complex interactions between unit operations.
  • Optimizing operating variables is crucial for achieving desired process performance and productivity.

Purpose of the Study:

  • To present a simple graphical approach for the design and analysis of bioprocess flowsheets.
  • To simulate and utilize the feasible operating space for decision-making and identifying trade-offs.
  • To investigate the impact of performance specifications on process design and development.

Main Methods:

  • Developed a graphical simulation approach for bioprocess flowsheets.
  • Utilized verified models for intracellular protein (alcohol dehydrogenase) production and isolation in yeast.

Related Experiment Videos

  • Defined and analyzed
  • windows of operation" across various growth rates (0.06-0.28 h(-1)).

    • Main Results:

    • Demonstrated the simulation of feasible operating spaces to guide design and operating decisions.
    • Identified trade-offs between fermentation growth rate and disruption conditions for optimal performance.
    • Visualized significant improvements: 50% increase in cell debris removal and 400% increase in overall process productivity.

    Conclusions:

    • The graphical approach facilitates visual comparison of process options, aiding in better bioprocess design.
    • This method accelerates process development in the biological process industry by simplifying analysis of trade-offs.
    • The approach effectively visualizes the sensitivity of flowsheet performance to changes in process objectives.