论文标题

流体类型和颗粒形状对微流体平台中颗粒流动的效果

Combined effects of fluid type and particle shape on particles flow in microfluidic platforms

论文作者

Başağaoğlu, Hakan, Blount, Justin, Succi, Sauro, Freitas, Christopher J.

论文摘要

最近在文献中据报道,最近的数值分析以优化微流体设备的设计,以更有效地夹带或隔离替代循环肿瘤细胞(CTC),而在文献中据报道,而没有同时适应CTCS的CTCS的非蛋白流体和非均匀几何形状的非牛顿性质。通过一系列二维概念验证模拟,复杂性水平增加(例如,颗粒,内联障碍物的数量),我们研究了纽顿流体行为对假性流体的假设的有效性以及对不同形状粒子(DSP)的循环粒子形状(DSP)的粒子形状的上下文中的颗粒形状的形状,而粒子形状的形状基于微甲基化的形状。具有单个DSP的模拟显示,即使没有微流体通道的内部几何复杂性,上述假设也导致了0.11-0.21W(W是通道长度)DSPS的横向位移中的误差,其速度误差高达3-20%的误差,而行程中的3-5%误差则为3-5%。当将这些假设应用于具有内联障碍物的惯性微流体中涉及多个DSP的模拟中时,DSP的横向位移中的错误高达0.78W,并且在其旅行时间高达23%,导致了不同的(UN)对称流和分解模式。因此,流体类型和颗粒形状应包括在数值模型和实验中,以评估靶向细胞(例如CTC)收获的微流体的性能。

Recent numerical analyses to optimize the design of microfluidic devices for more effective entrapment or segregation of surrogate circulating tumor cells (CTCs) from healthy cells have been reported in the literature without concurrently accommodating the non-Newtonian nature of the body fluid and the non-uniform geometric shapes of the CTCs. Through a series of two-dimensional proof-of-concept simulations with increased levels of complexity (e.g., number of particles, inline obstacles), we investigated the validity of the assumptions of the Newtonian fluid behavior for pseudoplastic fluids and the circular particle shape for different-shaped particles (DSPs) in the context of microfluidics-facilitated shape-based segregation of particles. Simulations with a single DSP revealed that even in the absence of internal geometric complexities of a microfluidics channel, the aforementioned assumptions led to 0.11-0.21W (W is the channel length) errors in lateral displacements of DSPs, up to 3-20% errors in their velocities, and 3-5% errors in their travel times. When these assumptions were applied in simulations involving multiple DSPs in inertial microfluidics with inline obstacles, errors in the lateral displacements of DSPs were as high as 0.78W and in their travel times up to 23%, which led to different (un)symmetric flow and segregation patterns of DSPs. Thus, the fluid type and particle shape should be included in numerical models and experiments to assess the performance of microfluidics for targeted cell (e.g., CTCs) harvesting.

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