Issue |
MATEC Web Conf.
Volume 268, 2019
The 25th Regional Symposium on Chemical Engineering (RSCE 2018)
|
|
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Article Number | 01001 | |
Number of page(s) | 4 | |
Section | Biochemical and Biomedical Engineering | |
DOI | https://doi.org/10.1051/matecconf/201926801001 | |
Published online | 20 February 2019 |
Numerical simulation of particle dispersion in a pre-processing of a static culture
1
Department of Materials Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan
2
Department of Basic Medicinal Science, Nagoya University, Furocho, Chiusa-ku, Aichi 464-8601, Japan
3
Department of Biotechnology, Osaka University, 1-2 Yamadaoka, Suita, Osaka 565-0871, Japan
Corresponding author: okano@cheng.es.osaka-u.ac.jp
For producing high-quality induced pluripotent stem (iPS) cells in a static culture, initial placement of cells is one of the most important factors. Dense distribution of cells increases the risk of cell death. Thus, the cells need to be uniformly distributed during the preprocess of a static culture. This process depends on the operator’s experiences and has not been standardized. In this study, the authors have performed numerical simulations to investigate the efficient of cell dispersion by using OpenFOAM. The numerical domain is a square-shaped dish. Two shaking methods, one-direction and multi-direction reciprocal shaking, were considered and calculations were conducted under five oscillation frequencies. The cell colony was assumed as a solid spherical particle. The initial particles were densely positioned at the center. The numerical result showed that the multi-direction reciprocal shaking was more effective to disperse the particles than the one-direction reciprocal shaking. In addition, almost all particles at low frequency sank to the bottom and hardly dispersed. These results indicate that strong fluctuations can lift particles from the bottom, and frequent change of flow direction makes distribution area wide.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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