Department of Chemical Engineering, Indian Institute of Technology, Hauz Khas, New Delhi, India.
Department of Chemical Engineering, Indian Institute of Technology, Hauz Khas, New Delhi, India.
J Biotechnol. 2018 Feb 10;267:1-11. doi: 10.1016/j.jbiotec.2017.12.016. Epub 2017 Dec 24.
Centrifugation continues to be one of the most commonly used unit operations for achieving efficient harvest of the product from the mammalian cell culture broth during production of therapeutic monoclonal antibodies (mAbs). Since the mammalian cells are known to be shear sensitive, optimal performance of the centrifuge requires a balance between productivity and shear. In this study, Computational Fluid Dynamics (CFD) has been successfully used as a tool to facilitate efficient optimization. Multiphase Eulerian-Eulerian model coupled with Gidaspow drag model along with Eulerian-Eulerian k-ε mixture turbulence model have been used to quantify the complex hydrodynamics of the centrifuge and thus evaluate the turbulent stresses generated by the centrifugal forces. An empirical model has been developed by statistical analysis of experimentally observed cell lysis data as a function of turbulent stresses. An operating window that offers the optimal balance between high productivity, high separation efficiency, and low cell damage has been identified by use of CFD modeling.
离心分离仍然是从治疗性单克隆抗体(mAb)生产中的哺乳动物细胞培养物中高效收获产物的最常用的单元操作之一。由于众所周知哺乳动物细胞对剪切敏感,因此离心机的最佳性能需要在生产力和剪切之间取得平衡。在这项研究中,计算流体动力学(CFD)已成功用作促进有效优化的工具。多相欧拉-欧拉模型与 Gidaspow 阻力模型以及欧拉-欧拉 k-ε混合湍流模型结合使用,以量化离心机的复杂流体动力学,从而评估离心力产生的湍流应力。通过对实验观察到的细胞裂解数据作为湍流应力函数的统计分析,开发了一个经验模型。通过使用 CFD 建模,确定了一个在高生产率、高分离效率和低细胞损伤之间提供最佳平衡的操作窗口。