Efficient Computational Design of a Scaffold for Cartilage Cell Regeneration
AbstractDue to the sensitivity of mammalian cell cultures, understanding the influence of operating conditions during a tissue generation procedure is crucial. In this regard, a detailed study of scaffold based cell culture under a perfusion flow is presented with the aid of mathematical modelling and computational fluid dynamics (CFD). With respect to the complexity of the case study, this work focuses solely on the effect of nutrient and metabolite concentrations, and the possible influence of fluid-induced shear stress on a targeted cell (cartilage) culture. The simulation set up gives the possibility of predicting the cell culture behavior under various operating conditions and scaffold designs. Thereby, the exploitation of the predictive simulation into a newly developed stochastic routine provides the opportunity of exploring improved scaffold geometry designs. This approach was applied on a common type of fibrous structure in order to increase the process efficiencies compared with the regular used formats. The suggested topology supplies a larger effective surface for cell attachment compared to the reference design while the level of shear stress is kept at the positive range of effect. Moreover, significant improvement of mass transfer is predicted for the suggested topology. View Full-Text
- Supplementary File 1:
PDF-Document (PDF, 128 KB)
A printed edition of this Special Issue is available here.
Share & Cite This Article
Tajsoleiman, T.; Abdekhodaie, M.J.; Gernaey, K.V.; Krühne, U. Efficient Computational Design of a Scaffold for Cartilage Cell Regeneration. Bioengineering 2018, 5, 33.
Tajsoleiman T, Abdekhodaie MJ, Gernaey KV, Krühne U. Efficient Computational Design of a Scaffold for Cartilage Cell Regeneration. Bioengineering. 2018; 5(2):33.Chicago/Turabian Style
Tajsoleiman, Tannaz; Abdekhodaie, Mohammad J.; Gernaey, Krist V.; Krühne, Ulrich. 2018. "Efficient Computational Design of a Scaffold for Cartilage Cell Regeneration." Bioengineering 5, no. 2: 33.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.