首页> 外文期刊>Journal of the mechanical behavior of biomedical materials >mu-Particle tracking velocimetry and computational fluid dynamics study of cell seeding within a 3D porous scaffold
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mu-Particle tracking velocimetry and computational fluid dynamics study of cell seeding within a 3D porous scaffold

机译:3D多孔脚手架内细胞播种的MU粒子跟踪速度和计算流体动力学研究

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Cell seeding of 3D scaffolds is a critical step in tissue engineering since the final tissue properties are related to the initial cell distribution and density within the scaffold unit. Perfusion systems can transport cells to the scaffold however; the fact that cells flow inside the scaffold pores does not guarantee cell deposition onto the scaffold substrate and cell attachment. The aim of this study was to investigate how fluid flow conditions modulate cell motion and deposition during perfusion. For such a purpose, a multiphase-based computational fluid dynamics (CFD) model was developed in conjunction with particle tracking velocimetry experiments (PTV) which for the first time were applied to observe cell seeding inside a 3D scaffold. CFD and PTV results showed the strong effect of gravity for lower flow rates leading to cell sedimentation and poor transport of cells to the scaffold. Higher flow rates help overcome the effect of gravity so more cells travelling inside the scaffold were found. Nonetheless, fluid flow drags cells along the fluid streamlines without intercepting the scaffold substrate. As a consequence, if cells do not deposit into the scaffold substrate, cell adhesion cannot occur. Therefore, cell scaffold interception should be promoted and the present computational model which predicts the effect of gravity and fluid drag on cells trajectories could serve to optimise bioreactors and enhance cell seeding efficiency.
机译:3D支架的细胞播种是组织工程中的关键步骤,因为最终组织特性与支架单元内的初始细胞分布和密度有关。然而,灌注系统可以将电池运输到支架上;在支架孔内部的细胞流动不保证电池沉积到支架基板和细胞附着上。本研究的目的是研究流体流动条件如何在灌注期间调节细胞运动和沉积。出于这种目的,基于多相的计算流体动力学(CFD)模型与颗粒跟踪速度实验(PTV)结合使用,这是第一次应用于观察3D支架内的细胞播种。 CFD和PTV结果表明,重力的强劲效果较低的流速,导致细胞沉降和细胞差的细胞转运到支架上。更高的流速有助于克服重力的效果,因此发现了支架内部的更多细胞。尽管如此,流体流动沿着流体流线拖动细胞而不拦截支架基板。结果,如果细胞不沉积到支架底物中,则不能发生细胞粘附。因此,应促进细胞支架拦截,并且预测重力和流体阻力对细胞轨迹的影响的本计算模型可以用于优化生物反应器并增强细胞播种效率。

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