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Modeling and Analysis of a Novel Approach for Particle Separation Using Time-Varying Amplitude Dielectrophoresis

机译:使用时变幅度介电流术语对颗粒分离新方法的建模与分析

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Modeling and simulation results for micro-scale particle separation based on time-varying amplitude dielectrophoresis is presented. As an example, we demonstrate how a sawtooth signal can be implemented to sort particles in a heterogeneous polystyrene population by tuning the signal parameters such as the signal period. The modeling analysis predicts polystyrene microsphere sorting with a minimum size difference of 1 μm in diameter. The presented platform is a step forward towards realizing advanced electrokinetic techniques for particle manipulation for fully automated lab-on-a-chip applications.
机译:介绍了基于时变幅度介电流量的微观粒子分离的建模和仿真结果。作为示例,我们通过调谐诸如信号时段的信号参数,展示如何实现锯齿信号以在异构聚苯乙烯群体中排序粒子。建模分析预测聚苯乙烯微球分选,其直径最小尺寸差为1μm。呈现的平台是实现全自动实验室应用的粒子操纵的先进电动力学技术的前进。

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