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Short-cut method for predicting the productivity of affinity chromatography.

S Yamamoto1, Y Sano

  • 1Department of Chemical Engineering, Yamaguchi University, Ube, Japan.

Journal of Chromatography
|April 24, 1992
PubMed
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A new method predicts affinity chromatography (AFC) productivity by analyzing breakthrough curves. It identifies optimal operating speeds (uM) for maximizing protein recovery, aiding in process scale-up.

Area of Science:

  • Biochemical Engineering
  • Separation Science
  • Chromatography

Background:

  • Affinity chromatography (AFC) is crucial for protein purification.
  • Predicting productivity is essential for efficient process scale-up.
  • Current methods may lack precision in optimizing operating conditions.

Purpose of the Study:

  • To develop a predictive method for affinity chromatography (AFC) productivity.
  • To identify the optimal operating velocity (uM) for maximum protein recovery.
  • To validate the method across diverse chromatographic media.

Main Methods:

  • Employed a constant-pattern approach to model breakthrough curves.
  • Derived the optimal velocity (uM) as a function of the number of transfer units (n).

Related Experiment Videos

  • Experimentally measured breakthrough curves using various packing materials (porous, non-porous, membrane).

    • Main Results:

    • Productivity (P) increases with velocity (u) at low values, exhibiting a maximum.
    • Determined 'n' values from experimental data for different media.
    • Calculated uM values based on determined 'n' values.

    Conclusions:

    • The developed method accurately predicts AFC productivity.
    • The method facilitates rapid optimization of operating conditions for AFC scale-up.
    • This approach is applicable to various chromatographic systems and media.