On the lattice Boltzmann method simulation of a two-phase flow bioreactor for artificially grown cartilage cells.
Owing to the growing demand of cartilage tissue repair and transplants, engineered cartilage cells have emerged as a prospective solution. Several bioreactors were built for artificially grown cartilage cells. In this work, a recently designed flow bed bioreactor is numerically investigated and compared with experimental results. The flow field inside the bioreactor was modelled using the lattice Boltzmann method. The flow consists of two phases which are the liquid component (nutrition supply) and gas component (oxygen supply). The flow field is simulated using the multi-phase lattice Boltzmann method, whilst the cell activity is modelled using Michaelis-Menten kinetics. The oxygen diffusion level at the exit of the nutrition phase is used as an evaluation process between the numerical and experimental results reporting the possibility of using the proposed model to fully simulate such bioreactors, though greatly saving time and money. Shear stress and pressure distributions are as well compared with published human cartilage load measurements to estimate the dynamic similarity between the bioreactor and the human knee. The predicted oxygen levels proved consistent trends with the experimental work with a 7% difference after 1h measuring time. The shear stress levels recorded 10-11 orders of magnitude lower than in humans and also one order of magnitude lower in the pressure distribution.
Hussein
M A
MA
Process-Analysis Department, Faculty of Natural Sciences and Biotechnology, University of Hohenheim, Garbenstrasse 21, D-70599 Stuttgart, Germany. mohamedh@uni-hohenheim.de
Esterl
S
S
Pörtner
R
R
Wiegandt
K
K
Becker
T
T
D000818:Animals; D019149:Bioreactors; D002356:Cartilage / Q000166:cytology* / Q000254:growth & development*; D018929:Cell Culture Techniques / Q000295:instrumentation; D002478:Cells, Cultured; D019902:Chondrocytes / Q000166:cytology* / Q000502:physiology*; D003198:Computer Simulation; D017076:Computer-Aided Design; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D044085:Microfluidics / Q000295:instrumentation / Q000379:methods; D008954:Models, Biological; D023822:Tissue Engineering / Q000295:instrumentation*