TY - JOUR
T1 - Numerical investigation of particle dispersion in the preprocessing stage for a static cell cultivation
AU - Sekimoto, Atsushi
AU - Kanemaru, Yoshiki
AU - Okano, Yasunori
AU - Kanie, Kei
AU - Kato, Ryuji
AU - Kino-oka, Masahiro
N1 - Funding Information:
This research is partially supported by the project of “Development of Cell Production and Processing Systems for Commercialization of Regenerative Medicine” from Japan Agency for Medical Research and Development , AMED , and by a Grant-in-Aid for Scientific Research (B) (No. 15H04173 ) from the Ministry of Education, Culture, Sports, Science and Technology of Japan, and supported partly by Collaborate Research Program for Young Scientist of ACCMS and IIMC, Kyoto University . We also would like to thank the computational resources of Research Institute for Information Technology, Kyushu University.
Funding Information:
This research is partially supported by the project of ?Development of Cell Production and Processing Systems for Commercialization of Regenerative Medicine? from Japan Agency for Medical Research and Development, AMED, and by a Grant-in-Aid for Scientific Research (B) (No. 15H04173) from the Ministry of Education, Culture, Sports, Science and Technology of Japan, and supported partly by Collaborate Research Program for Young Scientist of ACCMS and IIMC, Kyoto University. We also would like to thank the computational resources of Research Institute for Information Technology, Kyushu University.
Publisher Copyright:
© 2019 The Japanese Society for Regenerative Medicine
PY - 2019/12/15
Y1 - 2019/12/15
N2 - In order to produce high-quality cells in a static culture, the initial placement of the cells is one of the most important factors. Dense distribution of the cells increases the risk of cell death. Thus, the cells need to be uniformly distributed during the preprocessing of a static culture. This process depends on the operator's experience and has not been standardized. In this study, we have performed numerical simulations to investigate the efficiency 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, at a low frequency, almost all particles sank to the bottom and hardly dispersed. These results indicate that strong fluctuations can lift particles from the bottom and that frequent changes in the flow direction make for more even distribution.
AB - In order to produce high-quality cells in a static culture, the initial placement of the cells is one of the most important factors. Dense distribution of the cells increases the risk of cell death. Thus, the cells need to be uniformly distributed during the preprocessing of a static culture. This process depends on the operator's experience and has not been standardized. In this study, we have performed numerical simulations to investigate the efficiency 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, at a low frequency, almost all particles sank to the bottom and hardly dispersed. These results indicate that strong fluctuations can lift particles from the bottom and that frequent changes in the flow direction make for more even distribution.
KW - Cell seeding
KW - Particle dispersion
KW - Reciprocal shaking
KW - Static cell cultivation
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U2 - 10.1016/j.reth.2019.04.003
DO - 10.1016/j.reth.2019.04.003
M3 - Article
AN - SCOPUS:85064660458
VL - 12
SP - 83
EP - 87
JO - Regenerative Therapy
JF - Regenerative Therapy
SN - 2352-3204
ER -