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Laboratory Scale Production and Purification of a Therapeutic Antibody
Published on: January 24, 2017
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Development of temperature-controlled batch and 3-column counter-current protein A system for improved therapeutic
Alexander Armstrong1, Jorge Aranda Hernandez1, Felix Roth2
1Advanced Centre for Biochemical Engineering, University College London, United Kingdom.
Journal of Chromatography. A
|June 28, 2024
Summary
Optimizing process temperature in Protein A chromatography significantly boosts monoclonal antibody purification. Higher temperatures increase dynamic binding capacity, leading to greater productivity in both batch and continuous systems.
Area of Science:
- Bioprocess Engineering
- Chromatography
- Protein Purification
Background:
- Process parameters are critical for optimizing bioprocess chromatography.
- Temperature is an under-characterized parameter in Protein A chromatography.
- Understanding temperature effects is key for monoclonal antibody (mAb) purification.
Purpose of the Study:
- To investigate the mechanistic effects of temperature on Protein A chromatography for mAb purification.
- To develop and validate temperature-dependent models for optimizing chromatography processes.
- To enhance productivity in both batch and continuous chromatography systems.
Main Methods:
- Utilized a 3D-printed heating jacket for precise temperature control (10-30 °C) during various chromatography steps.
- Performed batch loading experiments and fitted data to mechanistic and correlation-based models.
- Optimized and validated a 3-column temperature-controlled periodic counter-current chromatography (TCPCC) system.
Main Results:
- Dynamic binding capacity (DBC) increased with temperature in batch loading.
- A 3-column TCPCC at 30 °C showed a 47% increase in DBC compared to 20 °C batch.
- Productivity doubled at 30 °C compared to 20 °C batch, with further increases at higher mAb feed concentrations.
Conclusions:
- Temperature is a critical, tunable parameter for Protein A chromatography optimization.
- Temperature-dependent models provide a valuable tool for optimizing batch and continuous chromatography.
- Optimized temperature control significantly enhances mAb purification efficiency and productivity.

