{"title":"Transfer characteristics of graphene based field effect transistor (GFET) for biosensing application","authors":"Reena Sri Selvarajan, A. A. Hamzah, B. Majlis","doi":"10.1109/RSM.2017.8069127","DOIUrl":null,"url":null,"abstract":"The unique monoatomic structure of graphene makes it as an enticing material to be used in sensitive detection of analytes in biosensing applications. Implementation of graphene as a conducting channel in graphene based field effect transistor (GFET) allows ultrasensitive detection of analytes in a targeted sample. Herein, we have investigated the transfer characteristics of GFET for biosensing applications. GFET was modelled and simulated using Lumerical DEVICE charge transport solver (DEVICE CT). The device shows ambipolar curve and achieved minimum conductivity of 0.00012 A at Dirac point. However, the Dirac point shifts to the right and introduces significant change in the minimum conductivity as drain voltage bias is increased. This shows that external factors such as doping can influence the surface charges of the GFET and this property of graphene is crucial in ultrasensitive detection of analytes in biosensing applications.","PeriodicalId":215909,"journal":{"name":"2017 IEEE Regional Symposium on Micro and Nanoelectronics (RSM)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Regional Symposium on Micro and Nanoelectronics (RSM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RSM.2017.8069127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The unique monoatomic structure of graphene makes it as an enticing material to be used in sensitive detection of analytes in biosensing applications. Implementation of graphene as a conducting channel in graphene based field effect transistor (GFET) allows ultrasensitive detection of analytes in a targeted sample. Herein, we have investigated the transfer characteristics of GFET for biosensing applications. GFET was modelled and simulated using Lumerical DEVICE charge transport solver (DEVICE CT). The device shows ambipolar curve and achieved minimum conductivity of 0.00012 A at Dirac point. However, the Dirac point shifts to the right and introduces significant change in the minimum conductivity as drain voltage bias is increased. This shows that external factors such as doping can influence the surface charges of the GFET and this property of graphene is crucial in ultrasensitive detection of analytes in biosensing applications.