CFD of mixing of multi‐phase flow in a bioreactor using population balance model
CFD of mixing of multi‐phase flow in a bioreactor using population balance model
复制标题
使用群体平衡模型计算生物反应器中多相流混合的 CFD
DOI：
10.1002/btpr.2242
复制
发表时间：
2016
影响因子：
2.9
通讯作者：
A. Rathore
中科院分区：
文献类型：
--
作者：
J. Sarkar;L. K. Shekhawat;V. Loomba;A. Rathore
已知生物反应器中的混合对于实现有效的传质和传热至关重要，这两者因此不仅影响细胞的生长，而且影响产品质量。在典型的生物反应器中，从空气中运输氧气的速率是限制因素。虽然更高的叶轮速度可以增强混合，但它们也可能导致严重的细胞损伤。因此，了解生物反应器中的流体动力学以实现最佳性能至关重要。本文提出了一种新的方法，涉及使用计算流体动力学（CFD）的流体动力学模型的通气搅拌生物反应器生产的单克隆抗体治疗通过哺乳动物细胞培养。这是通过估计不同工艺参数条件下的体积平均传质系数（kLa）来实现的。已经检查的工艺参数包括叶轮转速和通过分布器入口的进入气体的流速。为了削弱两相流和湍流，分别使用了欧拉-欧拉多相模型和k-ε湍流模型。这些已经进一步与群体平衡模型相结合，以纳入导致气泡聚结和破裂的各种相间相互作用。我们已经成功地证明了CFD作为一种工具来预测作为工艺参数的函数的气泡的尺寸分布的实用性，以及获得反应器中的优化混合条件的有效方法。所提出的方法是显着的时间和资源效率相比，命中和审判，目前使用的所有实验方法。© 2016美国化学工程师学会生物技术。程序，32：613-628，2016
Mixing in bioreactors is known to be crucial for achieving efficient mass and heat transfer, both of which thereby impact not only growth of cells but also product quality. In a typical bioreactor, the rate of transport of oxygen from air is the limiting factor. While higher impeller speeds can enhance mixing, they can also cause severe cell damage. Hence, it is crucial to understand the hydrodynamics in a bioreactor to achieve optimal performance. This article presents a novel approach involving use of computational fluid dynamics (CFD) to model the hydrodynamics of an aerated stirred bioreactor for production of a monoclonal antibody therapeutic via mammalian cell culture. This is achieved by estimating the volume averaged mass transfer coefficient (kLa) under varying conditions of the process parameters. The process parameters that have been examined include the impeller rotational speed and the flow rate of the incoming gas through the sparger inlet. To undermine the two‐phase flow and turbulence, an Eulerian‐Eulerian multiphase model and k‐ε turbulence model have been used, respectively. These have further been coupled with population balance model to incorporate the various interphase interactions that lead to coalescence and breakage of bubbles. We have successfully demonstrated the utility of CFD as a tool to predict size distribution of bubbles as a function of process parameters and an efficient approach for obtaining optimized mixing conditions in the reactor. The proposed approach is significantly time and resource efficient when compared to the hit and trial, all experimental approach that is presently used. © 2016 American Institute of Chemical Engineers Biotechnol. Prog., 32:613–628, 2016