通过基于模型的优化对多列色谱配置进行比较

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Updated: Jul 23, 2025

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Curtain Flow Column: Optimization of Efficiency and Sensitivity

Published on: June 12, 2016

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Aditya Pareek¹, Venkata Sudheendra Buddhiraju¹, Vishnu Swaroopji Masampally¹

¹TCS Research, Tata Research Development and Design Centre, Tata Consultancy Services, Pune, India.

Biotechnology progress

|July 16, 2023

概括

基于模型的优化表明,三列周期逆流色谱 (PCC) 为单克隆抗体 (mAb) 净化提供了更高的产量和生产率. 然而,四列PCC在洗量限制下提供一致的性能.

科学领域:

生物制药制造业生物制药制造业
化学工程是化学工程的重要组成部分.
过程优化过程优化

背景情况:

综合连续生物处理是生物制药制造业的未来.
多列色谱提高了生物分子捕获的生产力和容量利用率.
周期逆流色谱 (PCC) 是连续处理的一个关键技术.

研究的目的:

优化两种流行的多列PCC设计 (3列和4列).
根据单克隆抗体 (mAb) 料度和操作协议来评估性能.
为了确定产量,生产力和容量利用的最佳配置.

主要方法:

基于模型的优化使用辐射基础函数技术.
对3列和4列PCC配置的分析.
不同的mAb料度,现场清洗 (CIP) 和平衡持续时间.
决定变量包括表面速度和阶段持续时间.

主要成果:

在没有洗量限制的情况下,3列PCC在生产率,产量和容量利用率方面超过了4列PCC.
在1.2 mg/mL mAb 料下,三列PCC实现了0.024 mg/mL的生产率,0.94的产量和0.94的容量利用率.
在洗量限制的情况下,四列PCC显示出一致的生产率和产量,尽管容量利用率较低.

结论:

当洗量不限时,在mAb净化中最大限度地提高产量和生产率时,3列PCC是优越的.
四列PCC在更严格的操作约束下提供了稳定性和一致的性能,使其适合特定的制造场景.

关键词:

持续的生物处理.全球优化全球优化基于模型的优化优化这是一种单克隆抗体.多列色谱是多列色谱的一种方法.

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