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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10006892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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