Literature DB >> 24492950

Micro-computed tomography based computational fluid dynamics for the determination of shear stresses in scaffolds within a perfusion bioreactor.

Emilie Zermatten1, Jolanda Rita Vetsch, Davide Ruffoni, Sandra Hofmann, Ralph Müller, Aldo Steinfeld.   

Abstract

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.

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Year:  2014        PMID: 24492950     DOI: 10.1007/s10439-014-0981-0

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  11 in total

1.  The inter-sample structural variability of regular tissue-engineered scaffolds significantly affects the micromechanical local cell environment.

Authors:  A Campos Marin; D Lacroix
Journal:  Interface Focus       Date:  2015-04-06       Impact factor: 3.906

Review 2.  Mechanistic role of perfusion culture on bone regeneration.

Authors:  Bhaskar Birru; Naveen Kumar Mekala; Sreenivasa Rao Parcha
Journal:  J Biosci       Date:  2019-03       Impact factor: 1.826

3.  Silk fibroin/collagen and silk fibroin/chitosan blended three-dimensional scaffolds for tissue engineering.

Authors:  Kai Sun; Hui Li; Ruixin Li; Zhenghao Nian; Dong Li; Cheng Xu
Journal:  Eur J Orthop Surg Traumatol       Date:  2014-08-14

4.  Micro-computed tomography characterization of tissue engineering scaffolds: effects of pixel size and rotation step.

Authors:  Ibrahim Fatih Cengiz; Joaquim Miguel Oliveira; Rui L Reis
Journal:  J Mater Sci Mater Med       Date:  2017-07-18       Impact factor: 3.896

Review 5.  Biomechanical forces in the skeleton and their relevance to bone metastasis: biology and engineering considerations.

Authors:  Maureen E Lynch; Claudia Fischbach
Journal:  Adv Drug Deliv Rev       Date:  2014-08-29       Impact factor: 15.470

Review 6.  Mechanical regulation of bone regeneration: theories, models, and experiments.

Authors:  Duncan Colin Betts; Ralph Müller
Journal:  Front Endocrinol (Lausanne)       Date:  2014-12-10       Impact factor: 5.555

7.  Flow velocity-driven differentiation of human mesenchymal stromal cells in silk fibroin scaffolds: A combined experimental and computational approach.

Authors:  Jolanda Rita Vetsch; Duncan Colin Betts; Ralph Müller; Sandra Hofmann
Journal:  PLoS One       Date:  2017-07-07       Impact factor: 3.240

8.  Morphological Characterization and Effective Thermal Conductivity of Dual-Scale Reticulated Porous Structures.

Authors:  Simon Ackermann; Jonathan R Scheffe; Jonas Duss; Aldo Steinfeld
Journal:  Materials (Basel)       Date:  2014-10-28       Impact factor: 3.623

9.  A multiscale computational fluid dynamics approach to simulate the micro-fluidic environment within a tissue engineering scaffold with highly irregular pore geometry.

Authors:  Feihu Zhao; Johanna Melke; Keita Ito; Bert van Rietbergen; Sandra Hofmann
Journal:  Biomech Model Mechanobiol       Date:  2019-06-14

10.  2D µ-Particle Image Velocimetry and Computational Fluid Dynamics Study Within a 3D Porous Scaffold.

Authors:  A Campos Marin; T Grossi; E Bianchi; G Dubini; D Lacroix
Journal:  Ann Biomed Eng       Date:  2016-12-12       Impact factor: 3.934

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