NDLI: Signal-Based Methods in Dielectrophoresis for Cell and Particle Separation

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Signal-Based Methods in Dielectrophoresis for Cell and Particle Separation

Content Provider	MDPI
Author	Farasat, Malihe Aalaei, Ehsan Ronizi, Saeed Kheirati Bakhshi, Atin Mirhosseini, Shaghayegh Zhang, Jun Nguyen, Nam-Trung Kashaninejad, Navid
Copyright Year	2022
Description	Separation and detection of cells and particles in a suspension are essential for various applications, including biomedical investigations and clinical diagnostics. Microfluidics realizes the miniaturization of analytical devices by controlling the motion of a small volume of fluids in microchannels and microchambers. Accordingly, microfluidic devices have been widely used in particle/cell manipulation processes. Different microfluidic methods for particle separation include dielectrophoretic, magnetic, optical, acoustic, hydrodynamic, and chemical techniques. Dielectrophoresis (DEP) is a method for manipulating polarizable particles’ trajectories in non-uniform electric fields using unique dielectric characteristics. It provides several advantages for dealing with neutral bioparticles owing to its sensitivity, selectivity, and noninvasive nature. This review provides a detailed study on the signal-based DEP methods that use the applied signal parameters, including frequency, amplitude, phase, and shape for cell/particle separation and manipulation. Rather than employing complex channels or time-consuming fabrication procedures, these methods realize sorting and detecting the cells/particles by modifying the signal parameters while using a relatively simple device. In addition, these methods can significantly impact clinical diagnostics by making low-cost and rapid separation possible. We conclude the review by discussing the technical and biological challenges of DEP techniques and providing future perspectives in this field.
Starting Page	510
e-ISSN	20796374
DOI	10.3390/bios12070510
Journal	Biosensors
Issue Number	7
Volume Number	12
Language	English
Publisher	MDPI
Publisher Date	2022-07-11
Access Restriction	Open
Subject Keyword	Biosensors Analytical Chemistry Dielectrophoresis Microfluidics Cell Separation Particle Sorting Clausius–mossotti Factor Crossover Frequency
Content Type	Text
Resource Type	Article

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