Modeling evaluation of the fluid‐dynamic microenvironment in tissue‐engineered constructs: A micro‐CT based model

Cioffi, Margherita; Boschetti, Federica; Raimondi, Manuela Teresa; Dubini, Gabriele

doi:10.1002/bit.20740

Cited by 156 publications

(159 citation statements)

References 21 publications

Supporting

Mentioning

154

Contrasting

Order By: Relevance

“…the spinner flask bioreactor and the rotating wall vessel bioreactor) since mass transfer is enhanced within the scaffold. The scaffold in a perfusion bioreactor can have adequate nutrient supply, timely waste removal, and sufficient gaseous exchange, thus promoting cell growth and proliferation within the scaffold [3]. However, increased flow rates can create large shear stresses on the scaffold, which can in turn wash away the attached cells, adversely influence the cellular metabolism, and evendamage the cells.…”

Section: Introductionmentioning

confidence: 99%

Modeling of the Flow within Scaffolds in Perfusion Bioreactors

Yan¹,

Chen²,

Bergstrom³

2012

AJBE

View full text Add to dashboard Cite

Tissue engineering aims to produce artificial organs and tissues for transplant treatments, in which cultivating cells on scaffolds in bioreactors is of critical importance. To control the cultivating process, the knowledge of the fluid flow inside and around a scaffold in the bioreactor is essential. However, due to the complicated microstructure of a scaffold, it is difficult, or even impossible, to gain such knowledge experimentally. In contrast, numerical methods employing computational fluid dynamics (CFD) have proven promising to alleviate the problem. In this research the fluid flow in perfusion bioreactors is studied with numerical methods. The emphasis is on investigating the effect of the controllable parameters in both the scaffold fabrication (i.e., the diameter of scaffold strand and the distance between two strands) and cell culture process (i.e., the flow rate) on the distribution of shear stress within the scaffold in a perfusion bioreactor. The knowledge obtained in this study will allow for improved control strategies in scaffold fabrication and cell culturing experiments.

show abstract

Section: Introductionmentioning

confidence: 99%

Modeling of the Flow within Scaffolds in Perfusion Bioreactors

Yan¹,

Chen²,

Bergstrom³

2012

AJBE

View full text Add to dashboard Cite

show abstract

“…A linear relationship between wall shear stress and imposed flow was found as a result of the very low Reynolds numbers causing the convective terms in the Navier-Stokes equations to be negligible [24] . A Newtonian fluid in the steady state was simulated in this study.…”

Section: Discussionmentioning

confidence: 99%

Computational modeling of the fluid mechanical environment of regular and irregular scaffolds

Lin

Mei

2015

Int. J. Autom. Comput.

View full text Add to dashboard Cite

Direct perfusion of three-dimensional cell-seeded biological scaffolds is known to enhance osteogenesis, which can be partly attributed to mechanical stimuli affecting cell proliferation and differentiation in the process of bone tissue regeneration. This study aimed to compare the hydrodynamic environment, including the distributions of fluid flow velocity, wall shear stress and pressure in pores filled with liquid, designed scaffold (DS), porous and biodegradable β-TCP (β-tricalcium phosphate) based on freeze-drying scaffold (FS) and dog s femora scaffold (NS). Gravity condition, inlet velocities of 1, 10, 100 and 1000 μm/s and medium viscosities of 1.003, 1.45 and 2.1 mPas were applied as the initial conditions. With an inlet fluid velocity of 100 m/s and a viscosity of 1.45 (10 −3 Pas, the simulation results of maximal and average wall shear stress were 15.675 mPas and 3.223 mPas for DS, 67.126 mPas and 5.949 mPas for FS, and 20.190 mPas and 1.629 mPas for NS. Variations of inlet fluid velocity and fluid viscosity produced corresponding proportional changes in fluid flow velocity, wall shear stress and pressure. DS and FS were evaluated in terms of simulation results and microstructure using NS as a reference standard. This methodology allows a greater insight into the complex concept of tissue engineering and will likely help in understanding and eventually improving the fluid-mechanical aspects.

show abstract

“…More precisely, the domain Ω is defined to be the elliptical cylinder {(x, y) : (x − x 0 )/a 2 + (y − y 0 ) 2 /b 2 < 1} × (0.015, 1.14), with the scaffold removed; here (x 0 , y 0 ) = (4.1325, 4.1625), a = 4.1175, and b = 4.1475. Based on the work undertaken in the article [25], we model a Newtonian fluid with density ρ = 1000kg/m 3 and viscosity µ = 8.1 × 10 −4 Pa · s. Prescribing a flow rate of 53µms −1 yields a Reynolds number, Re = 2 × 10 −3 . The fine mesh which accurately describes Ω is generated based on image data supplied by Prof. El Haj & Dr. Kuiper.…”

Section: Example 2: Flow Past a 3d Scaffold Geometrymentioning

confidence: 99%

Review of Discontinuous Galerkin Finite Element Methods for Partial Differential Equations on Complicated Domains

Antonietti

Cangiani

Collis

et al. 2016

Lecture Notes in Computational Science and Engineering

118

View full text Add to dashboard Cite

The numerical approximation of partial differential equations (PDEs) posed on complicated geometries, which include a large number of small geometrical features or microstructures, represents a challenging computational problem. Indeed, the use of standard mesh generators, employing simplices or tensor product elements, for example, naturally leads to very fine finite element meshes, and hence the computational effort required to numerically approximate the underlying PDE problem may be prohibitively expensive. As an alternative approach, in this article we present a review of composite/agglomerated discontinuous Galerkin finite element methods (DGFEMs) which employ general polytopic elements. Here, the elements are typically constructed as the union of standard element shapes; in this way, the minimal dimension of the underlying composite finite element space is independent of the number of geometrical features. In particular, we provide an overview of hp-version inverse estimates and approximation results for general polytopic elements, which are sharp with respect to element facet degeneration. On the basis of these results, a priori error bounds for the hp-DGFEM approximation of both second-order elliptic and first-order hyperbolic PDEs will be derived. Finally, we present numerical experiments which highlight the practical application of DGFEMs on meshes consisting of general polytopic elements.

show abstract

Modeling evaluation of the fluid‐dynamic microenvironment in tissue‐engineered constructs: A micro‐CT based model

Cited by 156 publications

References 21 publications

Modeling of the Flow within Scaffolds in Perfusion Bioreactors

Modeling of the Flow within Scaffolds in Perfusion Bioreactors

Computational modeling of the fluid mechanical environment of regular and irregular scaffolds

Review of Discontinuous Galerkin Finite Element Methods for Partial Differential Equations on Complicated Domains

Contact Info

Product

Resources

About