Model-Based Performance Study of Dielectrophoretic Flow Separator

Alnaimat, Fadi; Ramesh, Salini; Adams, Sydni; Parks, Nefratari; Lewis, Cameron; Wallace, Kourtney; Mathew, Bobby

doi:10.1109/lsens.2019.2915101

Cited by 4 publications

(12 citation statements)

References 14 publications

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“…The first part of this section demonstrates the ability of the microfluidic device in achieving separation based on size with sub-micron resolution; for this, the model is used for demonstrating the ability of the device in separation a heterogeneous mixture of 2-μm (radius) and 2.25-μm (radius) polystyrene ( ρ e = 1050 kg/m 3 ) microparticles suspended in water ( ρ m (at 20 °C) = 998 kg/m 3 , μ m (at 20 °C) = 10 −3 Pa∙s), based on size [ 8 ]. Figure 4 shows the trajectory (top view) of microparticles inside the microfluidic device.…”

Section: Resultsmentioning

confidence: 99%

“…Figure 1 shows the variation of Re[ f CM ] with operating frequency for polystyrene microparticles ( ε e = 2.55ε o , K s = 2.85 nS, ε o = 8.8452 pF/m) with a radius of 2 μm and 2.25 μm suspended in water ( ε m = 78.5 ε o , σ m = 10 −4 S/m) [ 8 , 9 ]. It can be noticed that both microparticles exhibit pDEP and nDEP at low and high frequencies, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…Ali and Park [ 17 ] studied the influence of several operating and geometric parameters, using the model on the performance of the device. Alnaimat et al [ 8 ] modeled the functioning of a microfluidic device, with planar IDT electrodes on the bottom surface of the microchannel, employed for type-based separation. This frequency of operation is selected such that one type of microparticle is subjected to pDEP while the other type of microparticle is subjected to nDEP.…”

Section: Introductionmentioning

confidence: 99%

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Dielectrophoretic Microfluidic Device for Separating Microparticles Based on Size with Sub-Micron Resolution

et al. 2020

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This article details the mathematical model of a microfluidic device aimed at separating any binary heterogeneous sample of microparticles into two homogeneous samples based on size with sub-micron resolution. The device consists of two sections, where the upstream section is dedicated to focusing of microparticles, while the downstream section is dedicated to separation of the focused stream of microparticles into two samples based on size. Each section has multiple planar electrodes of finite size protruding into the microchannel from the top and bottom of each sidewall; each top electrode aligns with a bottom electrode and they form a pair leading to multiple pairs of electrodes on each side. The focusing section subjects all microparticles to repulsive dielectrophoretic force, from each set of the electrodes, to focus them next to one of the sidewalls. This separation section pushes the big microparticles toward the interior, away from the wall, of the microchannel using repulsive dielectrophoretic force, while the small microparticles move unaffected to achieve the desired degree of separation. The operating frequency of the set of electrodes in the separation section is maintained equal to the cross-over frequency of the small microparticles. The working of the device is demonstrated by separating a heterogeneous mixture consisting of polystyrene microparticles of different size (radii of 2 and 2.25 μm) into two homogeneous samples. The mathematical model is used for parametric study, and the performance is quantified in terms of separation efficiency and separation purity; the parameters considered include applied electric voltages, electrode dimensions, outlet widths, number of electrodes, and volumetric flowrate. The separation efficiencies and separation purities for both microparticles are 100% for low volumetric flow rates, a large number of electrode pairs, large electrode dimensions, and high differences between voltages in both sections.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dielectrophoretic Microfluidic Device for Separating Microparticles Based on Size with Sub-Micron Resolution

et al. 2020

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“…The real part of the Clausius–Mossotti factor ( f CM ) is dependent on the permittivity and conductivity of the medium and microparticle as shown in Equation (2); Equation (3) presents the relationship of conductivity of microparticle to its bulk and surface conductivities [8]. The polarity of Re [ f CM ] determines whether a microparticle will experience pDEP or nDEP; when Re [ f CM ] is positive, then the microparticle will experience pDEP and if Re [ f CM ] is negative, then the microparticle will experience nDEP.Re[fCM]=(εp+2εm)(εp−εm)+(σp+2σm)(σp−σm)ω2(εp+2εm)2+(σp+2σm)2ω2 σp=σbulk,p+2Ks,prp…”

Section: Introductionmentioning

confidence: 99%

“…In most microfluidic devices, the electrodes are located near the sidewalls and it is desired to 3D focus microparticles at the center of the microchannel; for this, it is necessary to subject microparticles to nDEP which in turn requires operating the microfluidic device at high operating frequency. Figure 1 provides the variation of Re [ f CM ] with operating frequency with respect to the radius and conductivity of the medium for polystyrene ( ε p = 2.55 ε o F/m, ρ p = 1055 kg/m 3 , σ bulk,p = 0, and K s,p = 2.85 × 10 −9 S) and silica microparticles ( ε p = 3.8 ε o F/m, ρ p = 2000 kg/m 3 , σ bulk,p = 0, and K s,p = 0.82 × 10 −9 S) [8]. Figure 1 reveals that these microparticles experience nDEP at high operating frequencies as mentioned earlier.…”

Section: Introductionmentioning

confidence: 99%

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

2019

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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.

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Theoretical and experimental analysis of negative dielectrophoresis‐induced particle trajectories

et al. 2022

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Many biomedical analysis applications require trapping and manipulating single cells and cell clusters within microfluidic devices. Dielectrophoresis (DEP) is a label‐free technique that can achieve flexible cell trapping, without physical barriers, using electric field gradients created in the device by an electrode microarray. Little is known about how fluid flow forces created by the electrodes, such as thermally driven convection and electroosmosis, affect DEP‐based cell capture under high conductance media conditions that simulate physiologically relevant fluids such as blood or plasma. Here, we compare theoretical trajectories of particles under the influence of negative DEP (nDEP) with observed trajectories of real particles in a high conductance buffer. We used 10‐µm diameter polystyrene beads as model cells and tracked their trajectories in the DEP microfluidic chip. The theoretical nDEP trajectories were in close agreement with the observed particle behavior. This agreement indicates that the movement of the particles was highly dominated by the DEP force and that contributions from thermal‐ and electroosmotic‐driven flows were negligible under these experimental conditions. The analysis protocol developed here offers a strategy that can be applied to future studies with different applied voltages, frequencies, conductivities, and polarization properties of the targeted particles and surrounding medium. These findings motivate further DEP device development to manipulate particle trajectories for trapping applications.

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Model-Based Performance Study of Dielectrophoretic Flow Separator

Cited by 4 publications

References 14 publications

Dielectrophoretic Microfluidic Device for Separating Microparticles Based on Size with Sub-Micron Resolution

Dielectrophoretic Microfluidic Device for Separating Microparticles Based on Size with Sub-Micron Resolution

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

Theoretical and experimental analysis of negative dielectrophoresis‐induced particle trajectories

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