PMID- 31035072
OWN - NLM
STAT- MEDLINE
DCOM- 20200728
LR  - 20200728
IS  - 1879-0534 (Electronic)
IS  - 0010-4825 (Linking)
VI  - 109
DP  - 2019 Jun
TI  - Effect of scaffold architecture on cell seeding efficiency: A discrete phase 
      model CFD analysis.
PG  - 62-69
LID - S0010-4825(19)30133-7 [pii]
LID - 10.1016/j.compbiomed.2019.04.025 [doi]
AB  - Within perfusion cell culture systems, scaffold architecture is able to control 
      important biological parameters such as permeability and fluid flow-induced shear 
      stress. As well, one of the main factors affecting the final fate of this process 
      as well as optimal cell differentiation and proliferation in these systems is 
      initial adhesion of cells to scaffolds. In this study, the effect of scaffold 
      architecture on the adhesion of the cells was computationally investigated. For 
      this purpose, four scaffold models including double-diamond, gyroid, FR-D, and 
      Schwarz-primitive were designed using triply periodic minimal surface (TPMS) 
      geometry with a constant porosity of 80%. As well, the inlet velocity of zero to 
      simulate static cell culture and three different inlet velocities for modeling 
      the dynamic cell culture conditions were also selected. The results showed that 
      cell culture efficiency of scaffolds could be changed up to seven times from 
      architecture to architecture under the same conditions. The efficiency of cell 
      culture in scaffolds with tortuous architecture was also reported higher than 
      those with relatively straight microchannels. In terms of culture methods, unlike 
      dynamic cell culture model in which almost a homogeneous cell distribution was 
      observed in static cell culture simulation, more cells adhered, but they had 
      agglomerated in the scaffold entrance regions and had failed to reach all 
      regions. The results of this study shed more light on the selection and design of 
      scaffold architecture for optimal cell culture in tissue engineering.
CI  - Copyright (c) 2019 Elsevier Ltd. All rights reserved.
FAU - Ali, Davar
AU  - Ali D
AD  - (a)Hacettepe University, Faculty of Engineering, Department of Chemical 
      Engineering, Ankara, Turkey; (b)Karabuk University, Faculty of Engineering, 
      Department of Medical Engineering, Karabuk, Turkey. Electronic address: 
      daverali@atauni.edu.tr.
LA  - eng
PT  - Journal Article
DEP - 20190424
PL  - United States
TA  - Comput Biol Med
JT  - Computers in biology and medicine
JID - 1250250
SB  - IM
MH  - *Cell Culture Techniques
MH  - *Cell Differentiation
MH  - Humans
MH  - *Models, Biological
MH  - Porosity
MH  - *Stress, Mechanical
MH  - *Tissue Engineering
MH  - Tissue Scaffolds/*chemistry
OTO - NOTNLM
OT  - CFD analysis
OT  - Cell culture efficiency
OT  - Discrete phase modeling
OT  - TPMS scaffolds
EDAT- 2019/04/30 06:00
MHDA- 2020/07/29 06:00
CRDT- 2019/04/30 06:00
PHST- 2019/02/04 00:00 [received]
PHST- 2019/04/20 00:00 [revised]
PHST- 2019/04/20 00:00 [accepted]
PHST- 2019/04/30 06:00 [pubmed]
PHST- 2020/07/29 06:00 [medline]
PHST- 2019/04/30 06:00 [entrez]
AID - S0010-4825(19)30133-7 [pii]
AID - 10.1016/j.compbiomed.2019.04.025 [doi]
PST - ppublish
SO  - Comput Biol Med. 2019 Jun;109:62-69. doi: 10.1016/j.compbiomed.2019.04.025. Epub 
      2019 Apr 24.