Prediction of viral filtration performance of monoclonal antibodies based on biophysical properties of feed

大小排阻色谱法 过滤(数学) 单克隆抗体 滤波器(信号处理) 色谱法 计算机科学 化学 工艺工程 生化工程 生物 数学 抗体 工程类 生物化学 统计 免疫学 计算机视觉
作者
William J. Rayfield,David J. Roush,Rebecca Chmielowski,Nihal Tugçu,Shehab Barakat,Jason K. Cheung
出处
期刊:Biotechnology Progress [American Chemical Society]
卷期号:31 (3): 765-774 被引量:29
标识
DOI:10.1002/btpr.2094
摘要

Controlling viral contamination is an important issue in the process development of monoclonal antibodies (MAbs) produced from mammalian cell lines. Virus filtration (VF) has been demonstrated to be a robust and effective clearance step which can provide ≥4 logs of reduction via size exclusion. The minimization of VF area by increasing flux and filter loading is critical to achieving cost targets as VFs are single use and often represent up to 10% of total purification costs. The research presented in this publication describes a development strategy focused on biophysical attributes of product streams that are directly applicable to VF process performance. This article summarizes a case study where biophysical tools (high-pressure size exclusion chromatography, dynamic light scattering, and absolute size exclusion chromatography) were applied to a specific MAb program to illustrate how changes in feed composition (pH, sodium chloride concentration, and buffer salt type) can change biophysical properties which correlate with VF performance. The approach was subsequently refined and expanded over the course of development of three MAbs where performance metrics (i.e., loading and flux) were evaluated for two specific virus filters (Viresolve Pro and Planova 20N) during both unspiked control runs and virus clearance experiments. The analyses of feed attributes can be applied to a decision tree to guide the recommendation of a VF filter and operating conditions for use in future MAb program development. The understanding of the biophysical properties of the feed can be correlated to virus filter performance to significantly reduce the mass of product, time, and costs associated with virus filter step development.
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