K. Chakrabarti, M. Obaidat, Shahriar Mostufa, A. Paul
{"title":"Design and analysis of a multi-core whispering gallery mode bio-sensor for detecting cancer cells and diabetes tear cells","authors":"K. Chakrabarti, M. Obaidat, Shahriar Mostufa, A. Paul","doi":"10.1364/OSAC.431883","DOIUrl":null,"url":null,"abstract":"Whispering gallery modes (WGM) have revolutionized the field of optical sensors. This paper presents a design and simulation of a novel structure called a “multi-core whispering gallery mode (WGM)” based on multiple evanescent waves coupling for detecting cancer cells and diabetes tear cells. This work is totally simulation based, and the simulation is done by a finite element method based simulation tool. From the simulation, it is expected that the proposed sensor exhibits a sensitivity of 650 nm/RIU, 666.67 nm/RIU, and 642.285 nm/RIU, respectively, for the detection of cancerous Basal, HeLa, and MDB-MB-231 cells. In addition, it is also capable of detecting affected diabetes tear cells from healthy tear cells with a sensitivity of 650 nm/RIU. To the best of our knowledge, the resultant sensitivity of the proposed sensor is probably the highest compared to other WGM based bio-sensors till now.","PeriodicalId":19750,"journal":{"name":"OSA Continuum","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2021-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"OSA Continuum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/OSAC.431883","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OPTICS","Score":null,"Total":0}
引用次数: 4
Abstract
Whispering gallery modes (WGM) have revolutionized the field of optical sensors. This paper presents a design and simulation of a novel structure called a “multi-core whispering gallery mode (WGM)” based on multiple evanescent waves coupling for detecting cancer cells and diabetes tear cells. This work is totally simulation based, and the simulation is done by a finite element method based simulation tool. From the simulation, it is expected that the proposed sensor exhibits a sensitivity of 650 nm/RIU, 666.67 nm/RIU, and 642.285 nm/RIU, respectively, for the detection of cancerous Basal, HeLa, and MDB-MB-231 cells. In addition, it is also capable of detecting affected diabetes tear cells from healthy tear cells with a sensitivity of 650 nm/RIU. To the best of our knowledge, the resultant sensitivity of the proposed sensor is probably the highest compared to other WGM based bio-sensors till now.