{"title":"时变振幅介质电泳颗粒分离新方法的建模与分析","authors":"Paresa Modarres, M. Tabrizian","doi":"10.1109/EMBSISC.2016.7508622","DOIUrl":null,"url":null,"abstract":"Modeling and simulation results for micro-scale particle separation based on time-varying amplitude dielectrophoresis is presented. As an example, we demonstrate how a sawtooth signal can be implemented to sort particles in a heterogeneous polystyrene population by tuning the signal parameters such as the signal period. The modeling analysis predicts polystyrene microsphere sorting with a minimum size difference of 1 μm in diameter. The presented platform is a step forward towards realizing advanced electrokinetic techniques for particle manipulation for fully automated lab-on-a-chip applications.","PeriodicalId":361773,"journal":{"name":"2016 IEEE EMBS International Student Conference (ISC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modeling and analysis of a novel approach for particle separation using time-varying amplitude dielectrophoresis\",\"authors\":\"Paresa Modarres, M. Tabrizian\",\"doi\":\"10.1109/EMBSISC.2016.7508622\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modeling and simulation results for micro-scale particle separation based on time-varying amplitude dielectrophoresis is presented. As an example, we demonstrate how a sawtooth signal can be implemented to sort particles in a heterogeneous polystyrene population by tuning the signal parameters such as the signal period. The modeling analysis predicts polystyrene microsphere sorting with a minimum size difference of 1 μm in diameter. The presented platform is a step forward towards realizing advanced electrokinetic techniques for particle manipulation for fully automated lab-on-a-chip applications.\",\"PeriodicalId\":361773,\"journal\":{\"name\":\"2016 IEEE EMBS International Student Conference (ISC)\",\"volume\":\"61 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE EMBS International Student Conference (ISC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EMBSISC.2016.7508622\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE EMBS International Student Conference (ISC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EMBSISC.2016.7508622","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling and analysis of a novel approach for particle separation using time-varying amplitude dielectrophoresis
Modeling and simulation results for micro-scale particle separation based on time-varying amplitude dielectrophoresis is presented. As an example, we demonstrate how a sawtooth signal can be implemented to sort particles in a heterogeneous polystyrene population by tuning the signal parameters such as the signal period. The modeling analysis predicts polystyrene microsphere sorting with a minimum size difference of 1 μm in diameter. The presented platform is a step forward towards realizing advanced electrokinetic techniques for particle manipulation for fully automated lab-on-a-chip applications.
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