Application of computational fluid dynamics in tissue engineering

Patrachari, Anirudh R.; Podichetty, Jagdeep T.; Madihally, Sundararajan V.

doi:10.1016/j.jbiosc.2012.03.010

Cited by 37 publications

(24 citation statements)

References 82 publications

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“…These variations could be attributed to increased randomness in large pore sizes, and a possible interaction between the polymers and the solute. Nevertheless, other diffusivity models could also be tested 34…”

Section: Resultsmentioning

confidence: 99%

Dynamics of diffusivity and pressure drop in flow‐through and parallel‐flow bioreactors during tissue regeneration

Podichetty

Dhane

Madihally

2012

Biotechnology Progress

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In this study, transport characteristics in flow-through and parallel-flow bioreactors used in tissue engineering were simulated using computational fluid dynamics. To study nutrient distribution and consumption by smooth muscle cells colonizing the 100 mm diameter and 2-mm thick scaffold, effective diffusivity of glucose was experimentally determined using a two-chambered setup. Three different concentrations of chitosan-gelatin scaffolds were prepared by freezing at -80°C followed by lyophilization. Experiments were performed in both bioreactors to measure pressure drop at different flow rates. At low flow rates, experimental results were in agreement with the simulation results for both bioreactors. However, increase in flow rate beyond 5 mL/min in flow-through bioreactor showed channeling at the circumference resulting in lower pressure drop relative to simulation results. The Peclet number inside the scaffold indicated nutrient distribution within the flow-through bioreactor to be convection-dependent, whereas the parallel-flow bioreactor was diffusion-dependent. Three alternative design modifications to the parallel-flow were made by (i) introducing an additional inlet and an outlet, (ii) changing channel position, and (iii) changing the hold-up volume. Simulation studies were performed to assess the effect of scaffold thickness, cell densities, and permeability. These new designs improved nutrient distribution for 2 mm scaffolds; however, parallel-flow configuration was found to be unsuitable for scaffolds more than 4-mm thick, especially at low porosities as tissues regenerate. Furthermore, operable flow rate in flow-through bioreactors is constrained by the mechanical strength of the scaffold. In summary, this study showed limitations and differences between flow-through and parallel-flow bioreactors used in tissue engineering.

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Section: Resultsmentioning

confidence: 99%

Dynamics of diffusivity and pressure drop in flow‐through and parallel‐flow bioreactors during tissue regeneration

Podichetty

Dhane

Madihally

2012

Biotechnology Progress

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“…As most of the systems considered in tissue engineering evaluate consumption of nutrients or formation of signature products, a reactive term, R i , is added to Equation (3) giving [11]:…”

Section: Cell Culture Under Static Conditionsmentioning

confidence: 99%

Applications of Computational Modelling and Simulation of Porous Medium in Tissue Engineering

German

Madihally

2016

Computation

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Abstract:In tissue engineering, porous biodegradable scaffolds are used as templates for regenerating required tissues. With the advances in computational tools, many modeling approaches have been considered. For example, fluid flow through porous medium can be modeled using the Brinkman equation where permeability of the porous medium has to be defined. In this review, we summarize various models recently reported for defining permeability and non-invasive pressure drop monitoring as a tool to validate dynamic changes in permeability. We also summarize some models used for scaffold degradation and integrating mass transport in the simulation.

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“…The influence of parameters such as speed, oxygen consumption, shear stress and cell growth through a bioreactor can be studied thanks to CFD simulations [9][10][11]. The benefits of using these simulations are: integrating the moment and mass transfer equations in a single system, analysing the problems that can occur when scaling the reactor and identifying the best design for the bioreactor, thereby reducing costs and time in the conduct of experiments [12]. The objective of this study is to develop and implement a numerical model of osteocyte growth in CFD, and evaluate this model in a three-dimensional scaffold inside a perfusion bioreactor considering the oxygen and nutrient consumption and the specific speed of growth of the cells.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation by CFD of the Growth of Osteocytes within a Bioreactor

Paz¹,

Suárez²,

Vence³

et al. 2019

World Congress on Electrical Engineering and Computer Systems and Science

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For years bone grafts have been used to regenerate or replace damaged bones, treat fractures or bone diseases, which requires surgical intervention and all the risks and problems that this entails, such as: immune response, transmission of diseases etc. As a consequence of the limitations of this technique was born the engineering of bone tissues. The objective of this new type of tissue engineering is to carry out the cellular regeneration of the damaged bone tissue until completely re-establishing its functionality. This requires the creation of artificial porous structures (scaffolding or three-dimensional matrices) biocompatible in which bone cells (osteocytes) extracted from the patient's own tissue are cultured. Achieving adequate oxygen supply, a high cell density and a uniform distribution of cells over three-dimensional scaffolds has become a challenge in recent years. For this reason, a numerical model of osteocyte growth has been implemented in ANSYS Fluent. The model includes the oxygen and nutrient consumption of biomass, the effect of shear stress on cell proliferation and the specific growth rate of osteocytes. This model was evaluated in realistic threedimensional scaffolds inside a perfusion bioreactor and it has been proved that the cell proliferation is conditioned by the wall shear stress.

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Application of computational fluid dynamics in tissue engineering

Cited by 37 publications

References 82 publications

Dynamics of diffusivity and pressure drop in flow‐through and parallel‐flow bioreactors during tissue regeneration

Dynamics of diffusivity and pressure drop in flow‐through and parallel‐flow bioreactors during tissue regeneration

Applications of Computational Modelling and Simulation of Porous Medium in Tissue Engineering

Numerical Simulation by CFD of the Growth of Osteocytes within a Bioreactor

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