Nozzle-Shaped Electrode Configuration for Dielectrophoretic 3D-Focusing of Microparticles

Nozzle-Shaped Electrode Configuration for Dielectrophoretic 3D-Focusing of Microparticles
复制标题

用于微粒介电泳 3D 聚焦的喷嘴形电极配置

DOI:
10.3390/mi10090585
复制
发表时间:
2019
期刊:
影响因子:
3.4
通讯作者:
B. Mathew
B. Mathew
中科院分区:
工程技术3区
文献类型:
--
作者:
Salini Krishna;F. Alnaimat;B. Mathew

文献摘要

被引文献

相似文献

本文提出了一种喷嘴状电极结构的微流控器件的实验验证数学模型,实现了基于介质电泳法的三维聚焦。顶面和底面上的两个直角三角形电极组成喷嘴状电极配置。该数学模型由描述微颗粒运动的方程以及微通道内的电场、电场和流体流动的分布组成。该模型考虑了与惯性、重力、阻力、虚质量、介电和浮力相关的力的影响。根据水平和垂直聚焦参数对微流控装置的性能进行了量化。利用该模型分析了操作参数如外加电势和体积流量,以及几何参数如电极尺寸和微通道尺寸的影响。微流控装置的性能随着外加电势的增加和体积流量的减小而增强。此外,微流控器件的性能随着微通道高度的减小和微粒半径的增大而提高,而随着电极长度和宽度的减小而降低。该模型是非常有益的,因为它允许生成具有所需性能指标的所提议的微流控装置的工作设计。
An experimentally validated mathematical model of a microfluidic device with nozzle-shaped electrode configuration for realizing dielectrophoresis based 3D-focusing is presented in the article. Two right-triangle shaped electrodes on the top and bottom surfaces make up the nozzle-shaped electrode configuration. The mathematical model consists of equations describing the motion of microparticles as well as profiles of electric potential, electric field, and fluid flow inside the microchannel. The influence of forces associated with inertia, gravity, drag, virtual mass, dielectrophoresis, and buoyancy are taken into account in the model. The performance of the microfluidic device is quantified in terms of horizontal and vertical focusing parameters. The influence of operating parameters, such as applied electric potential and volumetric flow rate, as well as geometric parameters, such as electrode dimensions and microchannel dimensions, are analyzed using the model. The performance of the microfluidic device enhances with an increase in applied electric potential and reduction in volumetric flow rate. Additionally, the performance of the microfluidic device improves with reduction in microchannel height and increase in microparticle radius while degrading with increase in reduction in electrode length and width. The model is of great benefit as it allows for generating working designs of the proposed microfluidic device with the desired performance metrics.