Zhang Yaolong, Chen Xueye
College of Transportation, Ludong University, Yantai, Shandong 264025, China; Faculty of Mechanical Engineering and Automation, Liaoning University of Technology, Jinzhou, Liaoning 121001, China.
College of Transportation, Ludong University, Yantai, Shandong 264025, China.
Ultrason Sonochem. 2021 Jul;75:105603. doi: 10.1016/j.ultsonch.2021.105603. Epub 2021 May 21.
Microfluidic technology has great advantages in the precise manipulation of micro and nano particles, and the separation of micro and nano particles based on ultrasonic standing waves has attracted much attention for its high efficiency and simplicity of structure. This paper proposes a device that uses three modes of ultrasonic standing waves to continuously separate particles with positive acoustic contrast factor in microfluidics. Three modes of acoustic standing waves are used simultaneously in different parts of the microchannel. According to the different acoustic radiation force received by the particles, the particles are finally separated to the pressure node lines on both sides and the center of the microchannel. In this separation method, initial hydrodynamic focusing and satisfying various equilibrium constraints during the separation process are the key. Through numerical simulation, the resonance frequency of the interdigital transducer, the distribution of sound pressure in the liquid, and the relationship between the interdigital electrode voltage and the output sound pressure are obtained. Finally, the entire separation process in the microchannel was simulated, and the separation of the two particles was successfully achieved. This work has laid a certain theoretical foundation for the rapid diagnosis of diseases in practical applications.
微流控技术在微纳颗粒的精确操控方面具有巨大优势，基于超声驻波的微纳颗粒分离因其高效性和结构简单性而备受关注。本文提出了一种在微流控中利用三种超声驻波模式连续分离具有正声对比度因子颗粒的装置。在微通道的不同部分同时使用三种声驻波模式。根据颗粒所受不同的声辐射力，颗粒最终被分离到微通道两侧的压力节点线和中心处。在这种分离方法中，初始的流体动力聚焦以及在分离过程中满足各种平衡约束是关键。通过数值模拟，获得了叉指换能器的共振频率、液体中的声压分布以及叉指电极电压与输出声压之间的关系。最后，对微通道中的整个分离过程进行了模拟，成功实现了两种颗粒的分离。这项工作为实际应用中的疾病快速诊断奠定了一定的理论基础。
