Dynamics of Dielectrophoretic Field-Flow Fractionation (Dep-Fff) Based Micro Sorter for Cell Separation

Leu, Tzong-Shyng; Weng, Chih Yuan

doi:10.1142/s0217984909018473

Cited by 9 publications

(4 citation statements)

References 5 publications

(4 reference statements)

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“…They are function of the state variable x. The first problem to control this system is its non linearity which is shown in the equation (10). The first non linearity of the system with respect to the control variable δu is due to the square term δu 2 .…”

Section: B Study Of the Micro Bead Behaviormentioning

confidence: 99%

“…The present paper is focused on the improvement of dielectrophoresis self-assembly. Current dielectrophoresis devices are only controlled in open loop, such as the manipulation of particles [7], continuous separation [8] and analysis of micro particles [9] like biological cells and bacteria, dielectrophoretic fieldflow fractionation (DEP-FFF) separation [10], positioning and sensing [11] micro particles and translation motion of carbon nanotubes [12]. As these micro manipulation devices are controlled in open loop, the object trajectory and the M. Kharboutly final position are thus not guaranteed.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Predictive control of a micro bead's trajectory in a dielectrophoresis-based device

Kharboutly¹,

Gauthier²,

Chaillet³

2010

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

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Micro and nano-particles can be trapped by a non uniform electric field through the effect of the dielectrophoretic force. Dielectrophoresis (DEP) is used to separate, manipulate and sense micro particles in several domains, such as in biological or Carbon Nano-Tubes (CNTs) manipulations. This paper tackles the creation of a closed loop strategy in order to control, using DEP, the trajectory of micro objects using vision feedback. A modeling of the dielectrophoresis force is presented to illustrate the non linearity of the system and the high dynamics of the object under dielectrophoresis . A control strategy based on the generalized predictive control method is proposed with the aim of controlling the trajectory, taking advantage of the high dynamics despite the non linearity. Simulated results are shown to evaluate our control strategy.

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Section: B Study Of the Micro Bead Behaviormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predictive control of a micro bead's trajectory in a dielectrophoresis-based device

Kharboutly¹,

Gauthier²,

Chaillet³

2010

2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

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“…Similar to many DEP-enabled sorters [14,21,25,35], the sample stream was initially focused by hydrodynamic forces in the contraction section to facilitate the downstream sorting. The goal was to narrow down the width of the sample stream and push particles against the channel wall.…”

Section: Size-based Sorting Of Ps Particlesmentioning

confidence: 99%

Standardization for Microlenses and Microlens Arrays

Miyashita

2007

jjap

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A compact and tunable size-based flow fractionation microchip using negative dielectrophoresis (DEP) is presented in this paper. In the microchip, a sample containing a mixture of particles is hydrodynamically focused in a contraction section and then sorted by size after flowing over planar interdigitated electrodes. The electrodes and flow chamber were aligned at an angle of 45° to produce effective sorting. 1, 2.5 and 4.8 µm polystyrene (PS) particles were successfully separated into three distinct streams in a short distance (1 mm) and collected in different outlet channels. The sorting was subjected to flow rates and electric potential. The experimental sorting efficiencies of 1, 2.5 and 4.8 µm particles reached 97.2%, 79.6% and 99.8%, respectively. With the same device, lipid vesicle sorting was demonstrated. 86.9% of vesicles larger than 10 µm were effectively extracted from the sample stream. Likewise, sorting of other biological particles can be achieved in the same fashion.

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“…Since most of microfluidic devices are 2D microchannel networks, the lateral DEP FFF technique is more compatible with other on-chip analysis for continuous manipulation and parallel processing of particles [177]. Currently, the lateral 26 DEP FFF is attracting increasing interest, and several studies [186][187][188][189][190] have been performed on the separation and focusing of microparticles. More importantly, it has been applied into some microfluidic devices with multiple outputs to collect the separated particles, such as the double-output [191], three-output [192,193], and fiveoutput [177] devices.…”

Section: Lateral Dielectrophoretic Field-flow Fractionationmentioning

confidence: 99%

Numerical modeling of motion and deformation of cells in microscale hydrodynamic and electric fields

Ye¹

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Cell performance is of great interest in a variety of biological processes and bioengineering applications, such as the cell motion in a manipulating biochip, and the cell deformation in a capillary. The present research work focuses on the numerical investigation of the motion and deformation of a single cell or two cells in the parabolic hydrodynamic field, nonuniform electric field, and parabolic hydrodynamic and nonuniform electric coupled field, respectively. A two-fluid model is presented to describe the flow characteristics of cell suspending in a fluid, considering the interactions between the cell and hydrodynamic field, between the cell and electric field, and between the two cells. The shell model is adopted to describe the interaction between the cell and hydrodynamic field, identified by the membrane mechanical force, where the cell membrane is treated as an incompressible and elastic shell with a uniform thickness and allowed to undergo the stretching and bending deformation. The Maxwell stress tensor (MST) approach is used to describe the interaction between the cell and electric field, identified by the dielectrophoresis (DEP) force due to the cell polarization. The Morse potential model is employed to describe the interaction between the two cells, identified by the intercellular interaction force behaving as a weak attractive force at far distance but a strong repulsive force at near distance. As the first academic achievement made in this thesis, the two novel numerical methods are developed to efficiently treat the two-fluid model, namely the modified particle binary level set (MPBLS) method for tracking the cell membrane, and the

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Dynamics of Dielectrophoretic Field-Flow Fractionation (Dep-Fff) Based Micro Sorter for Cell Separation

Cited by 9 publications

References 5 publications

Predictive control of a micro bead's trajectory in a dielectrophoresis-based device

Predictive control of a micro bead's trajectory in a dielectrophoresis-based device

Standardization for Microlenses and Microlens Arrays

Numerical modeling of motion and deformation of cells in microscale hydrodynamic and electric fields

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