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Related Experiment Videos

Global model for optimizing crossflow microfiltration and ultrafiltration processes: a new predictive and design

Gautam Lal Baruah1, Adith Venkiteshwaran, Georges Belfort

  • 1Howard P. Isermann Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.

Biotechnology Progress
|August 6, 2005
PubMed
Summary

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A new global model accurately predicts microfiltration (MF) and ultrafiltration (UF) performance, optimizing processes for yield and purity. This computational tool aids in designing and enhancing MF/UF systems.

Area of Science:

  • Biochemical Engineering
  • Separation Science
  • Computational Modeling

Background:

  • Crossflow microfiltration (MF) and ultrafiltration (UF) are crucial separation techniques.
  • Optimizing MF/UF processes requires accurate performance prediction.
  • Existing models may not fully capture complex interactions.

Purpose of the Study:

  • To develop and validate a global model for predicting crossflow MF and UF performance.
  • To enable rapid optimization of MF/UF processes for various parameters.
  • To simulate MF/UF processes individually or in combination.

Main Methods:

  • Developed a global model incorporating solute polydispersity, ionic environment, electrostatics, membrane properties, and operating conditions.
  • Implemented the model algorithm in Fortran 77 for rapid optimization.

Related Experiment Videos

  • Validated the model using three distinct separation test cases.

    • Main Results:

    • The model successfully predicted MF and UF process performance.
    • Validated against separations of bovine serum albumin (BSA)/hemoglobin (Hb), immunoglobulin (IgG) capture, and BSA/IgG separation.
    • Demonstrated capability for realistic in silico simulations.

    Conclusions:

    • The developed global model and algorithm accurately predict MF and UF performance.
    • This tool is invaluable for designing new and optimizing existing MF/UF processes.
    • Applicable to both pressure-dependent and pressure-independent regimes, individually or in combination.