Rheology of CHO Cell Suspensions and Its Effects on High‐Density Cultivation Process and Bioreactor Design

生物反应器 流变学 剪切减薄 中国仓鼠卵巢细胞 剪应力 剪切速率 工艺工程 传质 材料科学 微载波 生化工程 化学 色谱法 细胞 复合材料 工程类 生物化学 有机化学 受体
作者
Botao Zhang,Xinran Zhang,Qingyuan Ran,Weijian Zhang,Gance Dai,Liang Zhao,Qian Ye,Wen‐Song Tan
出处
期刊:Biotechnology Journal [Wiley]
卷期号:20 (3): e70003-e70003 被引量:1
标识
DOI:10.1002/biot.70003
摘要

With the rapidly growing demand for monoclonal antibodies (mAbs) worldwide, optimizing the high-density and ultra-high-density cultivation processes of Chinese hamster ovary (CHO) cells has become crucial for enhancing production efficiency. Shear stress and mass transfer have always been the vital operating parameters for the bioreactor in creating a suitable microenvironment for cell growth and antibody production. However, researchers have not actively focused on the rheology of CHO cell suspensions and its impact on these parameters in bioreactors. The factors influencing the rheology of suspensions were first investigated in this study. The findings demonstrated that the shear-thinning behavior of the suspension was primarily affected by the cell volume fraction (Φ). As Φ increases, the shear-thinning behavior gradually weakened, and the viscosity increased. The Sisko model was used to characterize rheology, while computational fluid dynamics simulations evaluated its impact on bioreactor performance. The simulation results revealed that the rheology of the suspensions caused a multiple increase in shear stress and a 10%-40% decrease in the volumetric mass transfer coefficient (kLa) in the bioreactor. Therefore, the effects of rheology cannot be ignored while designing operating parameters. This study established empirical correlations among Pg/V, Vg, Φ, and kLa, thus delivering guidance for selecting appropriate operating parameters in high-density and ultra-high-density cell cultivation processes. The findings provide a scientific foundation for optimizing CHO cell cultivation processes and quantifying suitable microenvironment parameters for cell growth and production. They also offer novel ideas and strategies for scaling up and optimizing the structural parameters of bioreactors.
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