{"title":"利用驻留声场中的声学粒子间力进行细胞诱捕的三维 FSI 模拟","authors":"Kamran Hafezi, Mohsen Saghafian, Davood Saeidi, Hamid Reza Aghaie","doi":"10.1088/1361-6439/ad6f1f","DOIUrl":null,"url":null,"abstract":"In recent years, there has been significant development in microfluidic devices for cell separation and sorting using acoustic methods in biomedical applications. The acoustic interparticle force (AIF) or the secondary acoustic radiation force arises from particle interactions with the scattered field of other particles, influencing particle motion at close ranges and facilitating optimal trapping and separation. This study analyzes a two-particle system consisting of a fixed particle and a white blood cell (WBC) within a standing acoustic field and creeping flow using fluid-structure interaction (FSI). To reduce computational costs by decoupling the acoustics and FSI, the acoustic pressure equation was solved on the frequency domain to calculate the total acoustic radiation force in each time step. Model accuracy was assessed by evaluating interparticle (AIF) and primary acoustic radiation force (ARF) on a polystyrene particle and comparing simulation results to analytical and experimental data. Results demonstrate the precise primary ARF computation, with discrepancies in AIF attributed to viscous losses near the particle surface. Moreover, the higher density of the fixed particle compared to WBCs induces significant acoustic interparticle attraction at close distances. Consequently, cell entrapment occurs through strong attraction and collision with fixed aluminum and silicon particles in creeping flow in all three Reynolds numbers 1.4 × 10<sup>−3</sup>, 2.1 × 10<sup>−3</sup>, and 3 × 10<sup>−3</sup>. Increasing Reynolds numbers augment the likelihood of cell separation from the fixed particle. These findings contribute to optimizing cell isolation and entrapment strategies.","PeriodicalId":16346,"journal":{"name":"Journal of Micromechanics and Microengineering","volume":"35 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Three-dimensional FSI simulation of cell entrapment utilizing acoustic interparticle force in a standing acoustic field\",\"authors\":\"Kamran Hafezi, Mohsen Saghafian, Davood Saeidi, Hamid Reza Aghaie\",\"doi\":\"10.1088/1361-6439/ad6f1f\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, there has been significant development in microfluidic devices for cell separation and sorting using acoustic methods in biomedical applications. The acoustic interparticle force (AIF) or the secondary acoustic radiation force arises from particle interactions with the scattered field of other particles, influencing particle motion at close ranges and facilitating optimal trapping and separation. This study analyzes a two-particle system consisting of a fixed particle and a white blood cell (WBC) within a standing acoustic field and creeping flow using fluid-structure interaction (FSI). To reduce computational costs by decoupling the acoustics and FSI, the acoustic pressure equation was solved on the frequency domain to calculate the total acoustic radiation force in each time step. Model accuracy was assessed by evaluating interparticle (AIF) and primary acoustic radiation force (ARF) on a polystyrene particle and comparing simulation results to analytical and experimental data. Results demonstrate the precise primary ARF computation, with discrepancies in AIF attributed to viscous losses near the particle surface. Moreover, the higher density of the fixed particle compared to WBCs induces significant acoustic interparticle attraction at close distances. Consequently, cell entrapment occurs through strong attraction and collision with fixed aluminum and silicon particles in creeping flow in all three Reynolds numbers 1.4 × 10<sup>−3</sup>, 2.1 × 10<sup>−3</sup>, and 3 × 10<sup>−3</sup>. Increasing Reynolds numbers augment the likelihood of cell separation from the fixed particle. These findings contribute to optimizing cell isolation and entrapment strategies.\",\"PeriodicalId\":16346,\"journal\":{\"name\":\"Journal of Micromechanics and Microengineering\",\"volume\":\"35 1\",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Micromechanics and Microengineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1088/1361-6439/ad6f1f\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Micromechanics and Microengineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1088/1361-6439/ad6f1f","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Three-dimensional FSI simulation of cell entrapment utilizing acoustic interparticle force in a standing acoustic field
In recent years, there has been significant development in microfluidic devices for cell separation and sorting using acoustic methods in biomedical applications. The acoustic interparticle force (AIF) or the secondary acoustic radiation force arises from particle interactions with the scattered field of other particles, influencing particle motion at close ranges and facilitating optimal trapping and separation. This study analyzes a two-particle system consisting of a fixed particle and a white blood cell (WBC) within a standing acoustic field and creeping flow using fluid-structure interaction (FSI). To reduce computational costs by decoupling the acoustics and FSI, the acoustic pressure equation was solved on the frequency domain to calculate the total acoustic radiation force in each time step. Model accuracy was assessed by evaluating interparticle (AIF) and primary acoustic radiation force (ARF) on a polystyrene particle and comparing simulation results to analytical and experimental data. Results demonstrate the precise primary ARF computation, with discrepancies in AIF attributed to viscous losses near the particle surface. Moreover, the higher density of the fixed particle compared to WBCs induces significant acoustic interparticle attraction at close distances. Consequently, cell entrapment occurs through strong attraction and collision with fixed aluminum and silicon particles in creeping flow in all three Reynolds numbers 1.4 × 10−3, 2.1 × 10−3, and 3 × 10−3. Increasing Reynolds numbers augment the likelihood of cell separation from the fixed particle. These findings contribute to optimizing cell isolation and entrapment strategies.
期刊介绍:
Journal of Micromechanics and Microengineering (JMM) primarily covers experimental work, however relevant modelling papers are considered where supported by experimental data.
The journal is focussed on all aspects of:
-nano- and micro- mechanical systems
-nano- and micro- electomechanical systems
-nano- and micro- electrical and mechatronic systems
-nano- and micro- engineering
-nano- and micro- scale science
Please note that we do not publish materials papers with no obvious application or link to nano- or micro-engineering.
Below are some examples of the topics that are included within the scope of the journal:
-MEMS and NEMS:
Including sensors, optical MEMS/NEMS, RF MEMS/NEMS, etc.
-Fabrication techniques and manufacturing:
Including micromachining, etching, lithography, deposition, patterning, self-assembly, 3d printing, inkjet printing.
-Packaging and Integration technologies.
-Materials, testing, and reliability.
-Micro- and nano-fluidics:
Including optofluidics, acoustofluidics, droplets, microreactors, organ-on-a-chip.
-Lab-on-a-chip and micro- and nano-total analysis systems.
-Biomedical systems and devices:
Including bio MEMS, biosensors, assays, organ-on-a-chip, drug delivery, cells, biointerfaces.
-Energy and power:
Including power MEMS/NEMS, energy harvesters, actuators, microbatteries.
-Electronics:
Including flexible electronics, wearable electronics, interface electronics.
-Optical systems.
-Robotics.