Hui Tang1, Jinjin Wu1. 1. Department of Dermatology, Daping Hospital, Army Medical University, Chongqing, 400042, P.R.China.
Abstract
OBJECTIVE: To review the advances in the computational fluid dynamics (CFD) in tissue engineering. METHODS: The latest research of CFD applied to tissue engineering were extensively retrieved and analyzed, the optimization of bioreactor design and the simulation of fluid dynamics and cell growth kinetics during tissue regeneration in vitro were mainly reviewed. RESULTS: The simulation and predictive capabilities of CFD can provide important guidance for the optimization of bioreactor design, and the cultivation of engineering tissue. The accuracy of model prediction results can be further improved by combining with experimental research. CONCLUSION: As a new and effective research tool, CFD has its unique advantages in the application of tissue engineering. However, a more comprehensive and accurate simulation of the whole process of tissue regeneration still needs further studies.
OBJECTIVE: To review the advances in the computational fluid dynamics (CFD) in tissue engineering. METHODS: The latest research of CFD applied to tissue engineering were extensively retrieved and analyzed, the optimization of bioreactor design and the simulation of fluid dynamics and cell growth kinetics during tissue regeneration in vitro were mainly reviewed. RESULTS: The simulation and predictive capabilities of CFD can provide important guidance for the optimization of bioreactor design, and the cultivation of engineering tissue. The accuracy of model prediction results can be further improved by combining with experimental research. CONCLUSION: As a new and effective research tool, CFD has its unique advantages in the application of tissue engineering. However, a more comprehensive and accurate simulation of the whole process of tissue regeneration still needs further studies.
Authors: Mohsen Setayeshmehr; Ebrahim Esfandiari; Mohammad Rafieinia; Batool Hashemibeni; Asghar Taheri-Kafrani; Ali Samadikuchaksaraei; David L Kaplan; Lorenzo Moroni; Mohammad T Joghataei Journal: Tissue Eng Part B Rev Date: 2019-06 Impact factor: 6.389