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Linear scale ultrafiltration.

R van Reis1, E M Goodrich, C L Yson

  • 1Separation Technology Group, Department of Recovery Sciences, Genentech, Inc., 460 Point San Bruno Boulevard, South San Francisco, California 94080, USA. rvr@gene.com

Biotechnology and Bioengineering
|July 19, 2008
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Summary
This summary is machine-generated.

A new methodology enables predictable linear scale-up for tangential flow filtration (TFF) processes. This approach ensures consistent fluid dynamics, crucial for optimizing biopharmaceutical manufacturing and product quality.

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Area of Science:

  • Biotechnology
  • Chemical Engineering
  • Bioprocess Engineering

Background:

  • Traditional tangential flow filtration (TFF) scale-up methods often fail to maintain critical parameters, leading to unpredictable performance.
  • Existing scale-up strategies primarily increase membrane area without ensuring consistent fluid dynamics.

Purpose of the Study:

  • To develop a comprehensive methodology for linear scale-up and scale-down of TFF processes.
  • To establish scale-independent operating principles for TFF.

Main Methods:

  • Identified and controlled scale-independent fluid dynamic parameters, including operating conditions, geometry, and materials.
  • Developed a new methodology focusing on maintaining consistent fluid dynamics across different scales.
  • Validated the methodology through extensive development and implementation in ultrafiltration processes.

Main Results:

  • Achieved a 400-fold linear scale-up of ultrafiltration processes for recombinant DNA-derived pharmaceuticals.
  • Demonstrated scale-independent performance without the need for intermediate pilot-scale tests.
  • Successfully implemented the methodology in a real-world biopharmaceutical recovery application.

Conclusions:

  • The developed methodology enables predictable and linear scale-up of TFF processes.
  • Maintaining scale-independent fluid dynamics is critical for process yield, protein quality, and product economics in the biotechnology industry.
  • This approach significantly impacts the efficiency and cost-effectiveness of biopharmaceutical manufacturing.