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CFD Simulation and Experimental Verification of Protein Adsorption on Ni(Ⅱ) – HFM Module  ( EI收录)  

文献类型:期刊文献

英文题名:CFD Simulation and Experimental Verification of Protein Adsorption on Ni(Ⅱ) – HFM Module

作者:Wu, Jiaojie[1]; Wei, Yongming[1]; Li, Shuqin[1]; Zhou, Junjie[1]; Xu, Zhenliang[1]

机构:[1] State Key Laboratory of Chemical Engineering, Membrane Science and Engineering R&D Lab, Chemical Engineering Research Center, School of Chemical Engineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237, China

年份:2022

外文期刊名:SSRN

收录:EI(收录号:20220415488)

语种:英文

外文关键词:Affinity chromatography - Amino acids - Computational fluid dynamics - Liquid chromatography - Proteins - Transition metals

摘要:Immobilized metal affinity chromatography (IMAC) provides specific purification of proteins containing histidine tags through high affinity with transition metal chelators, which has various applications in biological protein separation. Most chromatographic separations currently use the fixed bed. In this form, the internal flow has a high pressure drop, uneven solution flow, and pore blockage, etc., which reduces the separation efficiency greatly. Therefore, this study uses hollow fiber membranes (HFM) with micron-scale inner diameters as the base, thus reducing the operating pressure and significantly enhancing the mass transmission. Batch adsorption experiments were performed using flat plate membranes to obtain the thermodynamic and kinetic model parameters of the reaction to use in the dynamic column breakthrough simulation. The numerical simulation was based on a single HFM model and established a mathematical model for computational fluid dynamics (CFD) in ANSYS Fluent. The model accuracy was validated by combining the simulation with experiments. The effects of different module and process parameters on the breakthrough curve was investigated by varying the parameters such as flow rate, initial feed concentration and HFM inner diameter. The design parameters and operating conditions contributing for the module utilization were obtained. ? 2022, The Authors. All rights reserved.

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