Superpositioned dielectrophoresis for enhanced trapping efficiency

Aldaeus, Fredrik; Lin, Yuan; Roeraade, Johan; Amberg, Gustav

doi:10.1002/elps.200500068

Cited by 40 publications

(39 citation statements)

References 20 publications

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“…While high flow rates are generally associated with high throughput, increased flow rates can also result in a decrease in trapping percentage, since hydrodynamic shear acts against trapping by p-DEP, suggesting a delicate interplay between these two parameters is necessary for optimization [16]. In an attempt to circumvent this conflict, Markx et al [17] demonstrated that a higher trapping level could be maintained by appropriate decrease of the solution conductivity.…”

Section: Introductionmentioning

confidence: 97%

The influence of flow intensity and field frequency on continuous-flow dielectrophoretic trapping

Ben-Bassat

Boymelgreen

Yossifon

2015

Journal of Colloid and Interface Science

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Section: Introductionmentioning

confidence: 97%

The influence of flow intensity and field frequency on continuous-flow dielectrophoretic trapping

Ben-Bassat

Boymelgreen

Yossifon

2015

Journal of Colloid and Interface Science

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“…The net electric force of the polarized particles in non-uniform electric field is dielectrophoresis force. As a kind of non-contact, non-destructive manipulation technology, DEP is good at efficient separation, transportation, focusing, filtering and detection of colloids and biological particles to ensure the high-quality analysis of chemical and biological samples (Green and Morgan 1997;Aldaeus et al 2005;Cheng et al 2007). In order to manipulate particles, metallic microelectrodes are usually designed and fabricated.…”

Section: Introductionmentioning

confidence: 97%

Dynamics simulation of positioning and assembling multi-microparticles utilizing optoelectronic tweezers

Zhu

Yin

Zhang

2011

Microfluid Nanofluid

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Optoelectronic tweezer (OET) has become a powerful and versatile technique for manipulating microparticles and cells using real-time reconfigurable optical patterns. However, detailed research in the dynamics of particles in an OET device is still scarce, and the multipleparticle interactions still need further quantitative investigation. In this study, a dynamics simulation model coupling optically induced dielectrophoretic force, interaction forces between particles, and hydrodynamic and sedimentary forces is established and numerically solved by utilizing a finite element method and a dynamics simulation frame for multi-microparticles' positioning and assembling in a typical OET device. The spatial distributions of particles in the energized OET device before optically projecting are simulated first and the condition for particle chain formation is discussed. Then, the most representative ring-shaped optical pattern is applied, and the influences of optical-ring tweezer' dimensions of inner radius R e and width d e on positioning and assembling effect are dynamically simulated and discussed for 5-and 2-lm radius particles. The simulation results indicate the particles inside and outside optical ring both undergo negative DEP and are distributed centre-symmetrically under the action of ring virtual tweezers. Average distance between the particle and center of ring (ADPC) at equilibrium and the system equilibrium time characterizing particle positioning effect dramatically increase for both 5-and 2-lm radius particles while R e increases from 35 to 55 lm. Specially, the captured particles will pile up and immediately form a three-dimensional micropyramid structure when R e approximately equals 25 lm for the 5-lm radius particle. Moreover, ADPC decreases very slowly for both two particle-sizes and the system equilibrium time of 2-lm radius particle vary more obviously than that of 5-lm radius particle with d e increasing from 10 to 30 lm. And the system equilibrium time for 2-lm radius particle is always larger than that for 5-lm radius particle. The primary simulation results are in good agreement with experimental observations; hence this dynamics simulation model can truly predict the particlemoving trajectory and equilibrium positions in an OET device. Moreover, this dynamics simulation holds promise for designing and optimizing optical patterns for accuracy in assembling particles in order to form a specific microstructure.

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“…Conventional DEP systems generate electric field gradients by applying an AC signal across two or more metallic electrodes. These systems typically use coplanar electrode (Huang and Pethig 1991;Hughes et al 1998) or interdigitated (Albrecht et al 2004;Huang et al 1997) configurations, and trap particles at or near the electrode surfaces (Aldaeus et al 2005). Electrode-based DEP systems have been used in various particle analysis systems for sample concentration (Gadish and Voldman 2006;James et al 2006) and exhibit high selectivity (Aldaeus et al 2005).…”

Section: Introductionmentioning

confidence: 98%

Sample concentration and impedance detection on a microfluidic polymer chip

Sabounchi

Morales

Ponce

et al. 2008

Biomed Microdevices

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We present an on-chip microfluidic sample concentrator and detection triggering system for microparticles based on a combination of insulator-based dielectrophoresis (iDEP) and electrical impedance measurement. This platform operates by first using iDEP to selectively concentrate microparticles of interest based on their electrical and physiological characteristics in a primary fluidic channel; the concentrated microparticles are then directed into a side channel configured for particle detection using electrical impedance measurements with embedded electrodes. This is the first study showing iDEP concentration with subsequent sample diversion down an analysis channel and is the first to demonstrate iDEP in the presence of pressure driven flow. Experimental results demonstrating the capabilities of this platform were obtained using polystyrene microspheres and Bacillus subtilis spores. The feasibility of selective iDEP trapping and impedance detection of these particles was demonstrated. The system is intended for use as a front-end unit that can be easily paired with multiple biodetection/bioidentification systems. This platform is envisioned to act as a decision-making component to determine if confirmatory downstream identification assays are required. Without a front end component that triggers downstream analysis only when necessary, bio-identification systems (based on current analytical technologies such as PCR and immunoassays) may incur prohibitively high costs to operate due to continuous consumption of expensive reagents.

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Superpositioned dielectrophoresis for enhanced trapping efficiency

Cited by 40 publications

References 20 publications

The influence of flow intensity and field frequency on continuous-flow dielectrophoretic trapping

The influence of flow intensity and field frequency on continuous-flow dielectrophoretic trapping

Dynamics simulation of positioning and assembling multi-microparticles utilizing optoelectronic tweezers

Sample concentration and impedance detection on a microfluidic polymer chip

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