生物过程
上游(联网)
电荷(物理)
下游(制造业)
生化工程
过程开发
上游和下游(DNA)
过程(计算)
计算机科学
关键质量属性
纳米技术
计算生物学
风险分析(工程)
过程管理
材料科学
生物
业务
工程类
运营管理
物理
电信
古生物学
操作系统
量子力学
作者
Stanley Chung,Jun Tian,Zhijun Tan,Jie Chen,Jong‐Chan Lee,Michael Borys,Zheng Jian Li
摘要
Abstract Controlling the charge profile of therapeutic protein is a critical challenge in the current quality‐by‐design (QbD) paradigm, throughout all phases of biologics process development (PD): cell line development, upstream cell culture, recovery process, downstream purification, and analytical characterization. Charge variant profiles may influence efficacy and/or lead to unintended side‐effects. Thus, maintaining a consistent charge profile is of tremendous importance, and increasingly, researchers have focused efforts toward developing strategies to mitigate variability during cell culture and to improve separation and detection of charge variants. Current understanding of factors affecting charge variant formation during manufacturing remains inadequate, and sometimes, even substantial commitment of resources may still not fully achieve the desired or consistent profiles. As such, this review attempts to provide a comprehensive resource for the biologics community by summarizing the impact of charge variants and CQA management, analytical methods for charge variant detection, as well as strategies in downstream and upstream PD for controlling charge variant profiles.
科研通智能强力驱动
Strongly Powered by AbleSci AI