Mohammad Hasibul Hasan Hasib, Jannati Nabiha Nur, Kamrun Nahar Shushama, I. Rahaman, M. Rana, M. A. Al Mahfuz
{"title":"Enhancement of Sensitivity for Surface Plasmon Resonance Biosensor with Higher Detection Accuracy and Quality Factor","authors":"Mohammad Hasibul Hasan Hasib, Jannati Nabiha Nur, Kamrun Nahar Shushama, I. Rahaman, M. Rana, M. A. Al Mahfuz","doi":"10.1109/ICASERT.2019.8934602","DOIUrl":null,"url":null,"abstract":"In this paper, we demonstrate a highly sensitive Kretschmann configuration based surface plasmon resonance (SPR) biosensor with high detection accuracy (DA) and quality factor (QF). Five layers of biosensor model is proposed using numerical simulation and graphical analysis. In this model, graphene and heterostructures of black phosphorus improve the sensitivity of biosensor. Silver (Ag) is coupled with prism CaF2 for better reflectivity, since CaF2 has the less refractive index (RI). The mentioned model gives the highest sensitivity for 633 nm wavelength p-polarized light is 263.51 º/RIU with higher detection accuracy (DA) 2.14 and quality factor (QF) 57.915 RIU-1.","PeriodicalId":6613,"journal":{"name":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","volume":"100 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASERT.2019.8934602","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this paper, we demonstrate a highly sensitive Kretschmann configuration based surface plasmon resonance (SPR) biosensor with high detection accuracy (DA) and quality factor (QF). Five layers of biosensor model is proposed using numerical simulation and graphical analysis. In this model, graphene and heterostructures of black phosphorus improve the sensitivity of biosensor. Silver (Ag) is coupled with prism CaF2 for better reflectivity, since CaF2 has the less refractive index (RI). The mentioned model gives the highest sensitivity for 633 nm wavelength p-polarized light is 263.51 º/RIU with higher detection accuracy (DA) 2.14 and quality factor (QF) 57.915 RIU-1.