An improved capillary model for describing the microstructure characteristics, fluid hydrodynamics and breakthrough performance of proteins in cryogel beds

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• 作者：Junxian Yun^a ; ^b ; ^{yunjx@zjut.edu.cn"" rel=""nofollow} ; Gry Ravn Jespersen^a ; ^c ; Harald Kirsebom^a ; Per-Erik Gustavsson^c ; Bo Mattiasson^a ; Igor Yu Galaev^a ; ^d ; ¹ ; ^{Igor.galaev@dsm.com"" rel=""nofollow}
• 关键词：Cryogel ; Mathematical model ; Pore size distribution ; Tortuosity ; Skeleton thickness ; Protein
• 刊名：Journal of Chromatography A
• 出版年：2011
• 出版时间：12 August 2011
• 年：2011
• 卷：1218
• 期：32
• 页码：5487-5497
• 全文大小：888 K

文摘

A capillary-based model modified for characterization of monolithic cryogels is presented with key parameters like the pore size distribution, the tortuosity and the skeleton thickness employed for describing the porous structure characteristics of a cryogel matrix. Laminar flow, liquid dispersion and mass transfer in each capillary are considered and the model is solved numerically by the finite difference method. As examples, two poly(hydroxyethyl methacrylate) (pHEMA) based cryogel beds have been prepared by radical cryo-copolymerization of monomers and used to test the model. The axial dispersion behaviors, the pressure drop vs. flow rate performance as well as the non-adsorption breakthrough curves of different proteins, i.e., lysozyme, bovine serum albumin (BSA) and concanavalin A (Con A), at various flow velocities in the cryogel beds are measured experimentally. The lumped parameters in the model are determined by matching the model prediction with the experimental data. The results showed that for a given cryogel column, by using the model based on the physical properties of the cryogel (i.e., diameter, length, porosity, and permeability) together with the protein breakthrough curves one can obtain a reasonable estimate and detailed characterization of the porous structure properties of cryogel matrix, particularly regarding the number of capillaries, the capillary tortuousness, the pore size distribution and the skeleton thickness. The model is also effective with regards to predicting the flow performance and the non-adsorption breakthrough profiles of proteins at different flow velocities. It is thus expected to be applicable for characterizing the properties of cryogels and predicting the chromatographic performance under a given set of operating conditions.