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Process development and optimization of continuous capture with three-column periodic counter-current chromatography
Biotechnology and Bioengineering ( IF 3.8 ) Pub Date : 2021-01-22 , DOI: 10.1002/bit.27689
Ce Shi 1 , Qi-Lei Zhang 1 , Biao Jiao 2 , Xu-Jun Chen 2 , Ran Chen 2 , Wei Gong 2 , Shan-Jing Yao 1 , Dong-Qiang Lin 1
Affiliation  

Continuous capture with affinity chromatography is one of the most important units for continuous manufacturing of monoclonal antibody (mAb). Due to the complexity of three-column periodic counter-current chromatography (3C-PCC), three approaches (experimental, model-based, and simplified approaches) were studied for process development and optimization. The effects of residence time for interconnected load (RT C), breakthrough percentage of the first column for interconnected load (s) and feed protein concentration (c 0) on productivity and capacity utilization were focused. The model-based approach was found superior to the experimental approach in process optimization and evaluation. Two phases of productivity were observed and the optimal RT C for the maximum productivity was located at the boundary of the two phases. The comprehensive effects of the operating parameters (RT C, s, and c 0) were evaluated by the model-based approach, and the operation space was predicted. The best performance of 34.5 g/L/h productivity and 97.6% capacity utilization were attained for MabSelect SuRe LX resin under 5 g/L concentration at RT C = 2.8 min and s = 87.5%. Moreover, a simplified approach was suggested to obtain the optimal RT C for the maximum productivity. The results demonstrated that model-assisted tools are useful to determine the optimum conditions for 3C-PCC continuous capture with high productivity and capacity utilization.

中文翻译:

三柱周期性逆流色谱连续捕获工艺开发与优化

亲和层析连续捕获是连续生产单克隆抗体 (mAb) 的最重要单元之一。由于三柱周期性逆流色谱 (3C-PCC) 的复杂性,研究了三种方法(实验方法、基于模型的方法和简化方法)用于工艺开发和优化。互连负载的停留时间 ( RT C )、互连负载的第一柱穿透百分比 ( s ) 和进料蛋白质浓度 ( c 0 ) 的影响) 的重点是生产力和产能利用率。发现基于模型的方法在工艺优化和评估方面优于实验方法。观察到生产力的两个阶段,最大生产力的最佳RT C位于两个阶段的边界。采用基于模型的方法评价运行参数(RT Csc 0 )的综合影响,预测运行空间。MabSelect SuRe LX 树脂在 5 g/L 浓度和RT C  = 2.8 min 和s下实现了 34.5 g/L/h 生产率和 97.6% 产能利用率的最佳性能 = 87.5%。此外,提出了一种简化的方法来获得最佳的RT C以获得最大的生产率。结果表明,模型辅助工具可用于确定具有高生产率和产能利用率的 3C-PCC 连续捕获的最佳条件。
更新日期:2021-01-22
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