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Updated: Jul 18, 2025

Activated Cross-linked Agarose for the Rapid Development of Affinity Chromatography Resins - Antibody Capture as a Case Study
Published on: August 16, 2019
Model-assisted process development, characterization and design of continuous chromatography for antibody separation
Yan-Na Sun1, Wu-Wei Chen1, Shan-Jing Yao1
1Key Laboratory of Biomass Chemical Engineering of Ministry of Education, Zhejiang Key Laboratory of Smart Biomaterials, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou 310058, China.
Continuous chromatography is key for manufacturing monoclonal antibodies. Model-assisted approaches streamline development by investigating parameters and optimizing processes, reducing time and resources.
Area of Science:
- Biotechnology
- Chemical Engineering
Background:
- Continuous manufacturing offers advantages in monoclonal antibody production, including consistent quality and cost-efficiency.
- Implementing continuous chromatography remains a significant challenge due to complex operations and parameter variability.
Approach:
- This review explores the application of chromatographic modeling in continuous chromatography process development, characterization, and design.
- Model-assisted strategies enable multi-parameter interaction analysis and multi-objective optimization for continuous bioprocesses.
Key Points:
- Model-assisted approaches reduce development time and resource consumption.
- The review details model-assisted development for continuous capture and polishing steps.
- Challenges and opportunities in model-assisted process characterization are discussed, highlighting the need for design space and robustness analysis.
Conclusions:
- Modeling tools are crucial for systematic understanding and optimization of continuous chromatography.
- Further research is needed for robust design space determination and parameter analysis.
- The paper promotes process optimization and simulation platforms using model applications.
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