Parameter Optimization for Positive Dielectrophoretic Trapping Force on ZnO Nanoparticles Through Simulation

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Abstract:

A numerical model of an ethanol droplet system containing ZnO nanoparticles was developed using finite element analysis. The spatial, voltage, and frequency dependence of positive dielectrophoretic trapping mechanism was analyzed with all the AC electrokinetic forces incorporated into our calculation. The AC electrokinetic forces were analyzed individually, compared, and analyzed collectively. The characteristic behavior of each phenomenon was demonstrated, and dielectrophoresis was shown to be the dominant force near the edges of electrodes. Through time evolution study of the particle concentration in the collective analysis, we calculated optimal values of voltage and frequency at which the dielectrophoretic trapping mechanism is the most effective. This versatility of our numerical model promises its potential application in parameter optimization.

Keywords: PARAMETER OPTIMIZATION; POSITIVE DIELECTROPHORESIS; ZNO NANOPARTICLES

Document Type: Research Article

DOI: http://dx.doi.org/10.1166/jnn.2012.4706

Publication date: February 1, 2012

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  • Journal for Nanoscience and Nanotechnology (JNN) is an international and multidisciplinary peer-reviewed journal with a wide-ranging coverage, consolidating research activities in all areas of nanoscience and nanotechnology into a single and unique reference source. JNN is the first cross-disciplinary journal to publish original full research articles, rapid communications of important new scientific and technological findings, timely state-of-the-art reviews with author's photo and short biography, and current research news encompassing the fundamental and applied research in all disciplines of science, engineering and medicine.
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