介电泳
分离(统计)
粒子(生态学)
分离法
信号(编程语言)
生物系统
计算机科学
物理
色谱法
化学
材料科学
纳米技术
生物
微流控
机器学习
程序设计语言
生态学
作者
Malihe Farasat,Ehsan Aalaei,Saeed Kheirati Ronizi,Atin Bakhshi,Shaghayegh Mirhosseini,Jun Zhang,Nam‐Trung Nguyen,Navid Kashaninejad
出处
期刊:Biosensors
[MDPI AG]
日期:2022-07-11
卷期号:12 (7): 510-510
被引量:24
摘要
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.
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