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A multiphase model for Nanoparticle delivery in microcirculation

机译:微循环中纳米颗粒递送的多相模型

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In this paper, a particle-cell multiphase model is developed to model Nanoparticle (NP) transport, dispersion, and binding dynamics in blood suspension under the influence of Red blood cells (RBCs). The motion and deformation of RBCs is captured through the Immersed Finite Element Method. The motion and adhesion of individual NPs are tracked through Brownian adhesion dynamics. A mapping algorithm and an interaction potential function are introduced to consider the cell-particle collision. NP dispersion and binding rates are derived from the developed model under various rheology conditions. The influence of RBCs, vascular flow rate, and particle size on NP distribution and delivery efficacy is characterized. A non-uniform NP distribution profile with higher particle concentration near the vessel wall is observed. Such distribution leads to over 50% higher particle binding rate compared to the case without RBC considered. The tumbling motion of RBCs in the core region of the capillary is found to enhance NP dispersion, with dispersion rate increases as shear rate increases. Results from this study contribute to the fundamental understanding and knowledge on how the particulate nature of blood influences NP delivery, which will provide mechanistic insights on the nanomedicine design for targeted drug delivery
机译:在本文中,建立了一个颗粒-细胞多相模型来模拟在红细胞(RBC)影响下的纳米颗粒(NP)在血液悬浮液中的运输,分散和结合动力学。 RBC的运动和变形通过浸入有限元方法捕获。各个NP的运动和附着力通过布朗附着力动力学进行跟踪。引入映射算法和相互作用势函数来考虑细胞-颗粒碰撞。 NP的分散度和结合率是从在各种流变条件下开发的模型得出的。表征了红细胞,血管流速和粒径对NP分布和递送功效的影响。在容器壁附近观察到具有较高颗粒浓度的非均匀NP分布曲线。与未考虑RBC的情况相比,这种分布导致颗粒结合率高出50%以上。发现红细胞在毛细管核心区域的滚动运动增强了NP分散,随着剪切速率的增加,分散速率也增加。这项研究的结果有助于人们对血液的微粒性质如何影响NP输送产生基本的了解和知识,这将为针对靶向药物输送的纳米药物设计提供机械方面的见解。

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