Reference : Micro-Computed Tomography Based Computational Fluid Dynamics for the Determination of...
Scientific journals : Article
Human health sciences : Laboratory medicine & medical technology
Micro-Computed Tomography Based Computational Fluid Dynamics for the Determination of Shear Stresses in Scaffolds Within a Perfusion Bioreactor
Zermatten, Emilie [ETH, Inst Energy Technol, Zurich, Switzerland.]
Vetsch, Jolanda Rita [ETH, Inst Biomech, Zurich, Switzerland.]
Ruffoni, Davide mailto [Université de Liège - ULiège > Département d'aérospatiale et mécanique > Mécanique des matériaux biologiques et bioinspirés >]
Hofmann, Sandra [ETH, Inst Biomech, Zurich, Switzerland.]
Mueller, Ralph [ETH, Inst Biomech, Zurich, Switzerland.]
Steinfeld, Aldo [ETH, Inst Energy Technol, Zurich, Switzerland.]
Annals of Biomedical Engineering
Yes (verified by ORBi)
New York
[en] Scaffold ; Bone tissue engineering ; Perfusion bioreactor ; Computational fluid dynamics ; Direct pore-level simulations
[en] Perfusion bioreactors are known to exert shear stresses on cultured cells, leading to cell differentiation and enhanced extracellular matrix deposition on scaffolds. The influence of the scaffold's porous microstructure is investigated for a polycaprolactone (PCL) scaffold with a regular microarchitecture and a silk fibroin (SF) scaffold with an irregular network of interconnected pores. Their complex 3D geometries are imaged by micro-computed tomography and used in direct pore-level simulations of the entire scaffold-bioreactor system to numerically solve the governing mass and momentum conservation equations for fluid flow through porous media. The velocity field and wall shear stress distribution are determined for both scaffolds. The PCL scaffold exhibited an asymmetric distribution with peak and plateau, while the SF scaffold exhibited a homogenous distribution and conditioned the flow more efficiently than the PCL scaffold. The methodology guides the design and optimization of the scaffold geometry.
European Union [BIODESIGN FP7-NMP-2010-LARGE-4]
The authors gratefully acknowledge financial support from the European Union (BIODESIGN FP7-NMP-2010-LARGE-4). We thank H. Fries and A. Haselbacher for their support with the computational grid generation.

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