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Electrophoresis
Article . 2017 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Electrophoresis
Article . 2017
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Modeling of dielectrophoretic particle motion: Point particle versus finite‐sized particle

Authors: Çetin B.; Öner S.D.; Baranoğlu B.;

Modeling of dielectrophoretic particle motion: Point particle versus finite‐sized particle

Abstract

Dielectrophoresis (DEP) is a very popular technique for microfluidic bio‐particle manipulation. For the design of a DEP‐based microfluidic device, simulation of the particle trajectory within the microchannel network is crucial. There are basically two approaches: (i) point‐particle approach and (ii) finite‐sized particle approach. In this study, many aspects of both approaches are discussed for the simulation of direct current DEP, alternating current DEP, and traveling‐wave DEP applications. Point‐particle approach is implemented using Lagrangian tracking method, and finite‐sized particle is implemented using boundary element method. The comparison of the point‐particle approach and finite‐sized particle approach is presented for different DEP applications. Moreover, the effect of particle–particle interaction is explored by simulating the motion of closely packed multiple particles for the same applications, and anomalous‐DEP, which is a result of particle–wall interaction at the close vicinity of electrode surface, is illustrated.

Country
Turkey
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Keywords

Electrophoresis, surface property, Surface Properties, Microfluidics, Dielectrophoresis, microfluidics, direct current, 530, Article, Motion, motion, computer simulation, Boundary element method, elementary particle, microchannel, traveling wave, Computer Simulation, procedures, Particle Size, Electrodes, comparative study, model, point particle, electrostimulation, electrode, particle size, Microfluidic Analytical Techniques, 620, Lagrangian tracking method, electrophoresis, hydrodynamics, finite sized particle, microfluidic analysis, alternating current

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Top 10%
Top 10%
Top 10%
Green