Numerical simulation of mass transport in a microchannel bioreactor with cell micropatterning.
Micropatterning of two different cell types based on surface modification allows spatial control over two distinct cell subpopulations. This study considers a micropatterned coculture system, which has release and absorption parts alternately arranged at the base, and each part has a single cell type. A micropattern unit was defined and within each unit, there are one release part and one absorption part. The cells in the absorption parts consume species, which are secreted by the cells in the release parts. The species concentrations at the micropatterned cell base were computed from a three-dimensional numerical flow model incorporating mass transport. Different combined parameters were developed for the release and absorption parts to make the data collapse in each part. Combination of the collapse data in the release and absorption parts can be used to predict the concentration distribution through the whole channel. The correlated results were applied to predict the critical length ratio of the release and absorption parts for an actual micropatterned system (Bhatia et al., 1999, "Effect of Cell-Cell Interactions in Preservation of Cellular Phenotype: Co-Cultivation of Hepatocytes and Nonparenchymal Cell," FASEB J. 13, pp. 1883-1900) to avoid species insufficiency based on basic fibroblast growth factor (bFGF). The mass transfer effectiveness was found to be higher with more numbers of micropattern units. The optimal condition for micropatterned coculture bioreactors is achieved by having the product of the length ratio and the reaction ratio equal to 1. This condition was used to optimize the mass transfer in the micropatterned system (Bhatia et al., 1999, "Effect of Cell-Cell Interactions in Preservation of Cellular henotype: Co-Cultivation of Hepatocytes and Nonparenchymal Cell," FASEB J. 13, pp. 1883-1900) based on bFGF.
Department of Mechanical Engineering, National University of Singapore, Singapore, Singapore.
Yan
Y
Zeng
Thong-See
TS
Lee
Peng
P
Yu
Hong-Tong
HT
Low
D000818:Animals; D019149:Bioreactors; D002478:Cells, Cultured; D018920:Coculture Techniques / Q000295:instrumentation / Q000379:methods*; D003198:Computer Simulation; D015194:Diffusion Chambers, Culture; D004867:Equipment Design; D016222:Fibroblast Growth Factor 2 / Q000032:analysis / Q000378:metabolism*; D005347:Fibroblasts / Q000166:cytology / Q000378:metabolism; D022781:Hepatocytes / Q000166:cytology / Q000378:metabolism; D006801:Humans; D007700:Kinetics; D046210:Microfluidic Analytical Techniques / Q000295:instrumentation / Q000379:methods*; D008954:Models, Biological; D009716:Numerical Analysis, Computer-Assisted; D019899:Paracrine Communication
D016222:Fibroblast Growth Factor 2