模型辅助抗体连续捕获过程表征和关键影响因素分析Model-assisted process characterization and key factors evaluation on continuous chromatography for antibody capture
贾思宁,孙艳娜,高栋,王海彬,姚善泾,林东强
摘要(Abstract):
针对双柱连续流层析CaptureSMB连续捕获过程,提出了模型辅助过程表征方法。首先,比较了传统实验设计方法(DoE)和模型辅助方法,对6个中高风险参数进行了表征。结果表明,传统DoE方法无法准确表征参数对过程性能的影响,而模型辅助方法可排除无效操作点且考察范围更广。其次,通过模型确定了连接上样流速、连接上样时间和断开上样流速的参数范围,预测了最大过程产率操作点,进一步通过蒙特卡罗模拟和评估操作点的稳健性,得到最优的过程产率操作点。实验结果表明,模型辅助方法准确可靠,节约了时间和材料成本,可为连续捕获过程表征与优化提供指导,促进连续制造的工业应用。
关键词(KeyWords): 单克隆抗体;连续捕获;层析模型;过程表征;过程优化
基金项目(Foundation): 浙江省重点研发计划(2023C03116);; 国家自然科学基金(22078286);; 国家重点研发计划(2021YFE0113300)
作者(Author): 贾思宁,孙艳娜,高栋,王海彬,姚善泾,林东强
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