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Geometry-Based Computational Fluid Dynamic Model for Predicting the Biological Behavior of Bone Tissue Engineering Scaffolds

The use of biocompatible and biodegradable porous scaffolds produced via additive manufacturing is one of the most common approaches in tissue engineering. The geometric design of tissue engineering scaffolds (e.g., pore size, pore shape, and pore distribution) has a significant impact on their biol...

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Autores principales: Omar, Abdalla M., Hassan, Mohamed H., Daskalakis, Evangelos, Ates, Gokhan, Bright, Charlie J., Xu, Zhanyan, Powell, Emily J., Mirihanage, Wajira, Bartolo, Paulo J. D. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9397055/
https://www.ncbi.nlm.nih.gov/pubmed/35997442
http://dx.doi.org/10.3390/jfb13030104
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author Omar, Abdalla M.
Hassan, Mohamed H.
Daskalakis, Evangelos
Ates, Gokhan
Bright, Charlie J.
Xu, Zhanyan
Powell, Emily J.
Mirihanage, Wajira
Bartolo, Paulo J. D. S.
author_facet Omar, Abdalla M.
Hassan, Mohamed H.
Daskalakis, Evangelos
Ates, Gokhan
Bright, Charlie J.
Xu, Zhanyan
Powell, Emily J.
Mirihanage, Wajira
Bartolo, Paulo J. D. S.
author_sort Omar, Abdalla M.
collection PubMed
description The use of biocompatible and biodegradable porous scaffolds produced via additive manufacturing is one of the most common approaches in tissue engineering. The geometric design of tissue engineering scaffolds (e.g., pore size, pore shape, and pore distribution) has a significant impact on their biological behavior. Fluid flow dynamics are important for understanding blood flow through a porous structure, as they determine the transport of nutrients and oxygen to cells and the flushing of toxic waste. The aim of this study is to investigate the impact of the scaffold architecture, pore size and distribution on its biological performance using Computational Fluid Dynamics (CFD). Different blood flow velocities (BFV) induce wall shear stresses (WSS) on cells. WSS values above 30 mPa are detrimental to their growth. In this study, two scaffold designs were considered: rectangular scaffolds with uniform square pores (300, 350, and 450 µm), and anatomically designed circular scaffolds with a bone-like structure and pore size gradient (476–979 µm). The anatomically designed scaffolds provided the best fluid flow conditions, suggesting a 24.21% improvement in the biological performance compared to the rectangular scaffolds. The numerical observations are aligned with those of previously reported biological studies.
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spelling pubmed-93970552022-08-24 Geometry-Based Computational Fluid Dynamic Model for Predicting the Biological Behavior of Bone Tissue Engineering Scaffolds Omar, Abdalla M. Hassan, Mohamed H. Daskalakis, Evangelos Ates, Gokhan Bright, Charlie J. Xu, Zhanyan Powell, Emily J. Mirihanage, Wajira Bartolo, Paulo J. D. S. J Funct Biomater Article The use of biocompatible and biodegradable porous scaffolds produced via additive manufacturing is one of the most common approaches in tissue engineering. The geometric design of tissue engineering scaffolds (e.g., pore size, pore shape, and pore distribution) has a significant impact on their biological behavior. Fluid flow dynamics are important for understanding blood flow through a porous structure, as they determine the transport of nutrients and oxygen to cells and the flushing of toxic waste. The aim of this study is to investigate the impact of the scaffold architecture, pore size and distribution on its biological performance using Computational Fluid Dynamics (CFD). Different blood flow velocities (BFV) induce wall shear stresses (WSS) on cells. WSS values above 30 mPa are detrimental to their growth. In this study, two scaffold designs were considered: rectangular scaffolds with uniform square pores (300, 350, and 450 µm), and anatomically designed circular scaffolds with a bone-like structure and pore size gradient (476–979 µm). The anatomically designed scaffolds provided the best fluid flow conditions, suggesting a 24.21% improvement in the biological performance compared to the rectangular scaffolds. The numerical observations are aligned with those of previously reported biological studies. MDPI 2022-07-27 /pmc/articles/PMC9397055/ /pubmed/35997442 http://dx.doi.org/10.3390/jfb13030104 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Omar, Abdalla M.
Hassan, Mohamed H.
Daskalakis, Evangelos
Ates, Gokhan
Bright, Charlie J.
Xu, Zhanyan
Powell, Emily J.
Mirihanage, Wajira
Bartolo, Paulo J. D. S.
Geometry-Based Computational Fluid Dynamic Model for Predicting the Biological Behavior of Bone Tissue Engineering Scaffolds
title Geometry-Based Computational Fluid Dynamic Model for Predicting the Biological Behavior of Bone Tissue Engineering Scaffolds
title_full Geometry-Based Computational Fluid Dynamic Model for Predicting the Biological Behavior of Bone Tissue Engineering Scaffolds
title_fullStr Geometry-Based Computational Fluid Dynamic Model for Predicting the Biological Behavior of Bone Tissue Engineering Scaffolds
title_full_unstemmed Geometry-Based Computational Fluid Dynamic Model for Predicting the Biological Behavior of Bone Tissue Engineering Scaffolds
title_short Geometry-Based Computational Fluid Dynamic Model for Predicting the Biological Behavior of Bone Tissue Engineering Scaffolds
title_sort geometry-based computational fluid dynamic model for predicting the biological behavior of bone tissue engineering scaffolds
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9397055/
https://www.ncbi.nlm.nih.gov/pubmed/35997442
http://dx.doi.org/10.3390/jfb13030104
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