Characteristic parameter estimation for single-particle based on dielectrophoretic and hydrodynamic effects

J. Xu, R. Zhu, X. Guo
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Abstract

Dielectrophoresis (DEP) as a well-known approach to manipulate particles can be utilized in combination with fluidics to implement a measurement on characteristic parameters of particles. Numerical simulation of DEP factors was executed together with simulation of electric field distribution by means of Comsol Multiphysics. The simulation results facilitate the establishment of dynamic equilibrium model between a DEP force and a fluid drag force. According to critical release flow-rate and signal frequency of DEP, those parameters of a particle, such as permittivity, conductivity and radius, were estimated via Levenberg Maquardt iteration algorithm. The experiments validated the method and demonstrated a sensitive and consistent measure for single-particle assay.
基于介电泳和流体动力学效应的单粒子特征参数估计
介质电泳(DEP)是一种众所周知的颗粒控制方法,可以与流体学相结合来实现颗粒特征参数的测量。利用Comsol Multiphysics软件对电场分布进行了模拟,并对各因素进行了数值模拟。仿真结果有助于建立DEP力与流体阻力之间的动态平衡模型。根据DEP的临界释放流量和信号频率,通过Levenberg Maquardt迭代算法估计粒子的介电常数、电导率和半径等参数。实验验证了该方法的灵敏度和一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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