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

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 technolog...

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Autores principales: Jiang, Yingqi, Chen, Jin, Xuan, Weipeng, Liang, Yuhao, Huang, Xiwei, Cao, Zhen, Sun, Lingling, Dong, Shurong, Luo, Jikui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006892/
https://www.ncbi.nlm.nih.gov/pubmed/36904975
http://dx.doi.org/10.3390/s23052771
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author Jiang, Yingqi
Chen, Jin
Xuan, Weipeng
Liang, Yuhao
Huang, Xiwei
Cao, Zhen
Sun, Lingling
Dong, Shurong
Luo, Jikui
author_facet Jiang, Yingqi
Chen, Jin
Xuan, Weipeng
Liang, Yuhao
Huang, Xiwei
Cao, Zhen
Sun, Lingling
Dong, Shurong
Luo, Jikui
author_sort Jiang, Yingqi
collection PubMed
description 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.
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spelling pubmed-100068922023-03-12 Numerical Study of Particle Separation through Integrated Multi-Stage Surface Acoustic Waves and Modulated Driving Signals Jiang, Yingqi Chen, Jin Xuan, Weipeng Liang, Yuhao Huang, Xiwei Cao, Zhen Sun, Lingling Dong, Shurong Luo, Jikui Sensors (Basel) Article 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. MDPI 2023-03-03 /pmc/articles/PMC10006892/ /pubmed/36904975 http://dx.doi.org/10.3390/s23052771 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jiang, Yingqi
Chen, Jin
Xuan, Weipeng
Liang, Yuhao
Huang, Xiwei
Cao, Zhen
Sun, Lingling
Dong, Shurong
Luo, Jikui
Numerical Study of Particle Separation through Integrated Multi-Stage Surface Acoustic Waves and Modulated Driving Signals
title Numerical Study of Particle Separation through Integrated Multi-Stage Surface Acoustic Waves and Modulated Driving Signals
title_full Numerical Study of Particle Separation through Integrated Multi-Stage Surface Acoustic Waves and Modulated Driving Signals
title_fullStr Numerical Study of Particle Separation through Integrated Multi-Stage Surface Acoustic Waves and Modulated Driving Signals
title_full_unstemmed Numerical Study of Particle Separation through Integrated Multi-Stage Surface Acoustic Waves and Modulated Driving Signals
title_short Numerical Study of Particle Separation through Integrated Multi-Stage Surface Acoustic Waves and Modulated Driving Signals
title_sort numerical study of particle separation through integrated multi-stage surface acoustic waves and modulated driving signals
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006892/
https://www.ncbi.nlm.nih.gov/pubmed/36904975
http://dx.doi.org/10.3390/s23052771
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