Department of Chemical Engineering, The Pennsylvania State University, State College, Pennsylvania, USA.
Biotechnol Prog. 2022 Jan;38(1):e3221. doi: 10.1002/btpr.3221. Epub 2021 Nov 9.
High-performance countercurrent membrane purification (HPCMP) has recently been presented as a new approach for protein separations, exploiting differences in diffusive transport across a semipermeable membrane to achieve high selectivity for protein separations. This study presents a set of design equations and diagrams that describe the tradeoff between the yield and purification factor in HPCMP processes in terms of two parametric variables: the diffusive membrane selectivity and the ratio of the draw to bulk solution flow rates. Conditions are identified that provide the high yields and purification factors of interest in bioprocessing. In addition, hydrodynamic models for solute transport were used to evaluate the selectivity as a function of the membrane pore size distribution for purely size-based separations. Model calculations demonstrate that diffusive transport provides significantly greater selectivity than traditional pressure-driven membrane separations for the same pore size distribution due to differences in hindered transport rates for diffusion and convection. These results provide a framework that can be used for the development of HPCMP processes for highly selective protein separations.
高效逆流膜纯化（HPCMP）最近被提出作为一种新的蛋白质分离方法，利用在半透膜中扩散传输的差异来实现蛋白质分离的高选择性。本研究提出了一组设计方程和图表，以两种参数变量（扩散膜选择性和抽提液与主体溶液流速比）来描述 HPCMP 过程中产量和纯化因子之间的权衡。确定了在生物加工中提供高产量和所需纯化因子的条件。此外，溶质传输的流体动力学模型用于评估仅基于尺寸的分离时选择性作为膜孔径分布的函数。模型计算表明，由于扩散和对流的受阻传输速率的差异，对于相同的孔径分布，扩散传输提供的选择性明显大于传统的压力驱动膜分离。这些结果为用于高度选择性蛋白质分离的 HPCMP 工艺的开发提供了一个框架。
