Hossan Mohammad R, Dutta Diganta, Islam Nazmul, Dutta Prashanta
Department of Engineering and Physics, University of Central Oklahoma, Edmond, OK, USA.
Department of Physics, University of Nebraska, Kearney, NE, USA.
Electrophoresis. 2018 Mar;39(5-6):702-731. doi: 10.1002/elps.201700375. Epub 2017 Dec 15.
Pumping of fluids with precise control is one of the key components in a microfluidic device. The electric field has been used as one of the most popular and efficient nonmechanical pumping mechanism to transport fluids in microchannels from the very early stage of microfluidic technology development. This review presents fundamental physics and theories of the different microscale phenomena that arise due to the application of an electric field in fluids, which can be applied for pumping of fluids in microdevices. Specific mechanisms considered in this report are electroosmosis, AC electroosmosis, AC electrothermal, induced charge electroosmosis, traveling wave dielectrophoresis, and liquid dielectrophoresis. Each phenomenon is discussed systematically with theoretical rigor and role of relevant key parameters are identified for pumping in microdevices. We specifically discussed the electric field driven body force term for each phenomenon using generalized Maxwell stress tensor as well as simplified effective dipole moment based method. Both experimental and theoretical works by several researchers are highlighted in this article for each electric field driven pumping mechanism. The detailed understanding of these phenomena and relevant key parameters are critical for better utilization, modulation, and selection of appropriate phenomenon for efficient pumping in a specific microfluidic application.
精确控制流体的泵送是微流控装置的关键组成部分之一。自微流控技术发展的早期阶段起,电场就已被用作最常用且高效的非机械泵送机制之一,用于在微通道中输送流体。本综述介绍了由于在流体中施加电场而产生的不同微尺度现象的基本物理原理和理论,这些原理和理论可应用于微器件中的流体泵送。本报告中考虑的具体机制包括电渗、交流电渗、交流电热、感应电荷电渗、行波介电电泳和液体介电电泳。对每种现象进行了系统的严格理论探讨,并确定了在微器件泵送中相关关键参数的作用。我们使用广义麦克斯韦应力张量以及基于简化有效偶极矩的方法,具体讨论了每种现象的电场驱动体力项。本文针对每种电场驱动的泵送机制,突出了几位研究人员的实验和理论工作。对这些现象及相关关键参数的详细理解,对于在特定微流控应用中更好地利用、调节和选择合适的现象以实现高效泵送至关重要。