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Related Experiment Videos

Synthesis of bioprocesses using physical properties data.

M A Steffens1, E S Fraga, I D Bogle

  • 1Department of Chemical Engineering, University College London, Torrington Place, London, WC1E 7JE, United Kingdom.

Biotechnology and Bioengineering
|March 11, 2000
PubMed
Summary

This study presents a novel synthesis procedure for bioprocesses, utilizing physical property information to efficiently screen and design process units. The method generates ranked, economically optimal flowsheets for complex bioprocesses.

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Area of Science:

  • Biochemical Engineering
  • Process Systems Engineering
  • Computational Chemistry

Background:

  • Bioprocess development involves complex separation challenges due to numerous components.
  • Existing synthesis methods require adaptation for the unique demands of bioprocesses.
  • Efficient design of bioprocesses is crucial for economic viability.

Purpose of the Study:

  • To evaluate an extended synthesis procedure for designing complex bioprocesses.
  • To demonstrate the application of physical property-based screening for unit selection.
  • To validate a computational methodology for generating optimal bioprocess flowsheets.

Main Methods:

  • Incorporation of a screening technique based on physical property differences.
  • Integration of bioprocess-unit-design methodologies into an implicit enumeration algorithm.

Related Experiment Videos

  • Development of bioprocess synthesis software implemented in Java.

    • Main Results:

    • The methodology successfully screens candidate units, reducing problem size for bioprocess synthesis.
    • The software generates a ranked list of flowsheets, facilitating detailed analysis.
    • Two case studies, including a challenging intracellular product system, were effectively addressed.

    Conclusions:

    • The synthesis methodology efficiently handles large and complex bioprocess design problems.
    • The approach identifies economically optimal flowsheets within reasonable computational time.
    • System-wide optimization of bioprocesses is achievable, moving beyond unit-by-unit design.