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Scale-up of controlled-shear affinity filtration using computational fluid dynamics.
Patrick Francis1, Charles A Haynes
1Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, BC, Canada.
Controlled shear affinity filtration (CSAF) enables efficient protein purification from cell cultures. Computational fluid dynamics (CFD) simulations guide the scale-up of CSAF devices for industrial bioprocessing.
Area of Science:
- Bioprocess Engineering
- Separation Science
- Computational Fluid Dynamics
Background:
- Controlled shear affinity filtration (CSAF) integrates rotor technology with membrane affinity chromatography.
- CSAF facilitates direct capture and purification of secreted proteins from cell culture.
- Previous studies utilized laboratory-scale CSAF units.
Purpose of the Study:
- To extend computational fluid dynamics (CFD) simulations to larger-scale CSAF devices (up to 140 cm rotor radius).
- To investigate fluid hydrodynamics and filter performance in scaled-up CSAF units.
- To design and optimize a preparative CSAF device for industrial bioprocessing.
Main Methods:
- Computational fluid dynamics (CFD) simulations were employed to model fluid hydrodynamics.
- Analysis of complex flow patterns, including turbulent boundary layers, in large-scale CSAF units.
- In silico design and optimization of a preparative CSAF device.
Main Results:
- Complex fluid hydrodynamics, including turbulent boundary layers, were identified in larger-scale CSAF units.
- CFD simulations are crucial for reliable CSAF scale-up.
- An in silico designed preparative CSAF device with a 140 cm rotor radius and 5.93 m² filtration area was developed.
- The scaled-up device can process 1000 L of cell culture in approximately 2 hours.
- A novel parallelization method for CSAF units was proposed for larger bioprocessing volumes.
Conclusions:
- CFD is essential for the successful scale-up of CSAF technology.
- The designed preparative CSAF device is suitable for industrial-scale protein purification.
- The proposed parallelization strategy enhances CSAF applicability for very large bioprocessing operations.
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