Misra Prakhar, Sinha Abhishek, Rathore Anurag S, Shukla Anupam, Mir Fasil Q
Dept. of Chemical Engineering, Indian Institute of Technology, Delhi, 110016, India.
Dept. of Chemical Engineering, NIT, Srinagar, J & K, India.
Biotechnol Prog. 2017 Nov;33(6):1538-1547. doi: 10.1002/btpr.2523. Epub 2017 Jul 21.
Viral filtration is an expensive regulatory requirement in downstream processing of monoclonal antibodies (mAbs). This process step is typically operated with an overdesigned filter in order to account for any batch to batch variability in the filter, as well as the feed characteristics. Here, we propose a simple, six-parameter mechanistic model for viral filtration where three parameters are membrane-specific while the other three depend on feed characteristics and membrane-feed interactions. Viruses are considered as passive particles which are retained by the membrane on the basis of size exclusion. The model envisages that the viral filter contains two kind of pores: virus-retentive, small-sized pores and non-retentive, large-sized pores. The small-sized pores get blocked during filtration resulting in decrease in active membrane area, while the large-sized pores get constricted during filtration. The length of constricted part increases during filtration and contributes to increase in hydraulic resistance of the filter. Rate of these processes (blocking and constriction) are assumed to be proportional to the instantaneous rate of retention of the viral particles. The general nature of the model is validated with the experimental data on viral filtration for four different commercial membranes used in biotech industries as well as different model viruses. The proposed model has been demonstrated to describe the behavior of filters with very good accuracy. The best-fit model parameter values indicate about the various phenomena that are responsible for differences in the behavior of the membranes as well as change in retention and flux with feed concentration. The proposed model can be used for improving design of virus filters as well as in appropriate sizing of the filters during processing. © 2017 American Institute of Chemical Engineers Biotechnol. Prog., 33:1538-1547, 2017.
病毒过滤是单克隆抗体(mAb)下游加工过程中一项成本高昂的监管要求。此工艺步骤通常使用设计冗余的过滤器进行操作,以应对过滤器批次间的任何差异以及进料特性。在此,我们提出了一个简单的、具有六个参数的病毒过滤机理模型,其中三个参数是膜特异性的,而另外三个参数取决于进料特性和膜 - 进料相互作用。病毒被视为基于尺寸排阻被膜截留的被动颗粒。该模型设想病毒过滤器包含两种孔:截留病毒的小尺寸孔和不截留病毒的大尺寸孔。在过滤过程中小尺寸孔会被堵塞,导致有效膜面积减小,而大尺寸孔在过滤过程中会收缩。收缩部分的长度在过滤过程中增加,导致过滤器的水力阻力增加。假设这些过程(堵塞和收缩)的速率与病毒颗粒的瞬时截留速率成正比。利用生物技术行业使用的四种不同商业膜以及不同模型病毒的病毒过滤实验数据,验证了该模型的一般性质。已证明所提出的模型能够非常准确地描述过滤器的行为。最佳拟合模型参数值表明了导致膜行为差异以及截留率和通量随进料浓度变化的各种现象。所提出的模型可用于改进病毒过滤器的设计以及在加工过程中对过滤器进行适当的尺寸确定。© 2017美国化学工程师学会生物技术进展,33:1538 - 1547,2017。