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Surface Property Directed MicroChannel Flows in Biosensors

机译:表面特性指导生物传感器中的微通道流动

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摘要

It is known that rapid mixing in biosensors is required; however, these sensors may use reagents having small diffusion coefficients and whose mixing time scale is longer than the chemical reaction or molecular event time scale. Thus, it is necessary to overcome the inherent diffusion limited mixing of laminar flow. Many techniques to enhance microfluidic mixing are under development such as slanted wells, shallow grooves, electrokinetic instability mixing and surface layers. In this work, enhanced mixing is explored using lattice Boltzmann simulation techniques of two and three dimensional microfluidic channels at low Reynolds numbers. Surface temperature variations and flow field slip and no-slip boundary conditions emulating hydrophobic and hydrophilic surfaces were applied. The combined effect of wall temperature and surface property distributions presents a new way to manipulate microchannel flow fields. The momentum and thermal lattice Boltzmann equations were coupled via a body force term in the momentum equation. Also, a two dimensional, binary fluid model was incorporated. The results show how various wall temperature distributions, subjected to various velocity wall boundary conditions, can be either beneficial or counter productive to obtain uniform flow temperature profiles in, for example, PCR applications. The addition of the binary fluid model demonstrates the effects of both wall temperature and wall velocity boundary conditions.
机译:众所周知,需要在生物传感器中进行快速混合。但是,这些传感器可以使用扩散系数小的试剂,其混合时间长于化学反应或分子事件时间长的试剂。因此,必须克服层流固有的扩散受限混合。正在开发许多增强微流体混合的技术,例如倾斜井,浅槽,电动不稳定混合和表面层。在这项工作中,使用低雷诺数下的二维和三维微流体通道的晶格玻尔兹曼模拟技术探索了增强的混合。应用了模拟疏水和亲水表面的表面温度变化,流场滑移和无滑移边界条件。壁温和表面特性分布的综合影响为操纵微通道流场提供了一种新方法。动量和热晶格玻尔兹曼方程通过动量方程中的体力项耦合。而且,并入了二维二元流体模型。结果表明,在各种速度的壁边界条件下,各种壁温度分布如何有益或适得其反,以在例如PCR应用中获得均匀的流动温度曲线。二元流体模型的添加证明了壁温和壁速度边界条件的影响。

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