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基于集成多阶声表面波和调制驱动信号的颗粒分离数值研究。

Numerical Study of Particle Separation through Integrated Multi-Stage Surface Acoustic Waves and Modulated Driving Signals.

机构信息

Ministry of Education Key Laboratory of RF Circuits and Systems, College of Electronic & Information, Hangzhou Dianzi University, Hangzhou 310018, China.

Zhejiang Key Laboratory of Large-Scale Integrated Circuit Design, Hangzhou Dianzi University, Hangzhou 310018, China.

出版信息

Sensors (Basel). 2023 Mar 3;23(5):2771. doi: 10.3390/s23052771.

Abstract

The manipulation of biomedical particles, such as separating circulating tumor cells from blood, based on standing surface acoustic wave (SSAW) has been widely used due to its advantages of label-free approaches and good biocompatibility. However, most of the existing SSAW-based separation technologies are dedicated to isolate bioparticles in only two different sizes. It is still challenging to fractionate various particles in more than two different sizes with high efficiency and accuracy. In this work, to tackle the problems of low efficiency for multiple cell particle separation, integrated multi-stage SSAW devices with different wavelengths driven by modulated signals were designed and studied. A three-dimensional microfluidic device model was proposed and analyzed using the finite element method (FEM). In addition, the effect of the slanted angle, acoustic pressure, and the resonant frequency of the SAW device on the particle separation were systemically studied. From the theoretical results, the separation efficiency of three different size particles based on the multi-stage SSAW devices reached 99%, which was significantly improved compared with conventional single-stage SSAW devices.

摘要

基于驻波声表面波(SSAW)的生物医学粒子操纵,例如从血液中分离循环肿瘤细胞,由于其具有无标记方法和良好的生物相容性的优点而得到了广泛应用。然而,大多数现有的基于 SSAW 的分离技术仅专门用于分离两种不同尺寸的生物颗粒。仍然具有挑战性的是如何高效且准确地将多种粒径的颗粒分离成两种以上不同的粒径。在这项工作中,为了解决多细胞粒子分离效率低的问题,设计并研究了集成了不同调制信号驱动的多阶 SSAW 器件。采用有限元方法(FEM)提出并分析了一个三维微流控器件模型。此外,还系统研究了倾斜角、声压和 SAW 器件的谐振频率对粒子分离的影响。从理论结果来看,基于多阶 SSAW 器件的三种不同粒径的分离效率达到了 99%,与传统的单阶 SSAW 器件相比,这一效率有了显著提高。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/73c1/10006892/f0b1d41263da/sensors-23-02771-g001.jpg

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