Electrical characteristics of Graphene based Field Effect Transistor (GFET) biosensor for ADH detection

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

First pristine graphene was successfully produced by mechanical exfoliation and electrically characterized in 2004 by Andre Geim and Konstantin Novoselov at University of Manchester. Since its discovery in 2004, graphene also known as 'super' material that has enticed many researchers and engineers to explore its potential in ultrasensitive detection of analytes in biosensing applications. Among myriad reported sensors, biosensors based on field effect transistors (FETs) have attracted much attention. Thus, implementing graphene as conducting channel material hastens the opportunities for production of ultrasensitive biosensors for future device applications. Herein, we have reported electrical characteristics of graphene based field effect transistor (GFET) for ADH detection. GFET was modelled and simulated using Lumerical DEVICE charge transport solver (DEVICE CT). Electrical characteristics comprising of transfer and output characteristics curves are reported in this study. The device shows ambipolar curve and achieved a minimum conductivity of 0.23912 e5A at Dirac point. However, the curve shifts to the left and introduces significant changes in the minimum conductivity as drain voltage is increased. Output characteristics of GFET exhibits linear Id - Vd dependence characteristics for gate voltage ranging from 0 to 1.5 V. In addition, behavior of electrical transport through GFET was analyzed for various simulation temperatures. It clearly proves that the electrical transport in GFET is dependent on the simulation temperature as it may vary the maximum resistance in channel of the device. Therefore, this unique electrical characteristics of GFET makes it as a promising candidate for ultrasensitive detection of small biomolecules such as ADH in biosensing applications.

Original languageEnglish
Title of host publicationBiosensing and Nanomedicine X
PublisherSPIE
Volume10352
ISBN (Electronic)9781510611610
DOIs
Publication statusPublished - 2017
EventBiosensing and Nanomedicine X 2017 - San Diego, United States
Duration: 6 Aug 20177 Aug 2017

Other

OtherBiosensing and Nanomedicine X 2017
CountryUnited States
CitySan Diego
Period6/8/177/8/17

Fingerprint

Field-effect Transistor
Biosensor
Graphite
Graphene
Field effect transistors
bioinstrumentation
Biosensors
graphene
field effect transistors
Biosensing
Conductivity
curves
Voltage
Charge Transport
conductivity
Curve
Characteristic Curve
Biomolecules
output
Output

Keywords

  • Ambipolar curve
  • Biosensing
  • Dirac point
  • Fermi level
  • Graphene
  • Graphene based Field Effect Transistor
  • Output Characteristics
  • Transfer characteristics

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Electrical characteristics of Graphene based Field Effect Transistor (GFET) biosensor for ADH detection. / Selvarajan, Reena Sri; Hamzah, Azrul Azlan; Yeop Majlis, Burhanuddin.

Biosensing and Nanomedicine X. Vol. 10352 SPIE, 2017. 103520T.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Selvarajan, RS, Hamzah, AA & Yeop Majlis, B 2017, Electrical characteristics of Graphene based Field Effect Transistor (GFET) biosensor for ADH detection. in Biosensing and Nanomedicine X. vol. 10352, 103520T, SPIE, Biosensing and Nanomedicine X 2017, San Diego, United States, 6/8/17. https://doi.org/10.1117/12.2273759
@inproceedings{d881fdba6228426fb063f9183a67e013,
title = "Electrical characteristics of Graphene based Field Effect Transistor (GFET) biosensor for ADH detection",
abstract = "First pristine graphene was successfully produced by mechanical exfoliation and electrically characterized in 2004 by Andre Geim and Konstantin Novoselov at University of Manchester. Since its discovery in 2004, graphene also known as 'super' material that has enticed many researchers and engineers to explore its potential in ultrasensitive detection of analytes in biosensing applications. Among myriad reported sensors, biosensors based on field effect transistors (FETs) have attracted much attention. Thus, implementing graphene as conducting channel material hastens the opportunities for production of ultrasensitive biosensors for future device applications. Herein, we have reported electrical characteristics of graphene based field effect transistor (GFET) for ADH detection. GFET was modelled and simulated using Lumerical DEVICE charge transport solver (DEVICE CT). Electrical characteristics comprising of transfer and output characteristics curves are reported in this study. The device shows ambipolar curve and achieved a minimum conductivity of 0.23912 e5A at Dirac point. However, the curve shifts to the left and introduces significant changes in the minimum conductivity as drain voltage is increased. Output characteristics of GFET exhibits linear Id - Vd dependence characteristics for gate voltage ranging from 0 to 1.5 V. In addition, behavior of electrical transport through GFET was analyzed for various simulation temperatures. It clearly proves that the electrical transport in GFET is dependent on the simulation temperature as it may vary the maximum resistance in channel of the device. Therefore, this unique electrical characteristics of GFET makes it as a promising candidate for ultrasensitive detection of small biomolecules such as ADH in biosensing applications.",
keywords = "Ambipolar curve, Biosensing, Dirac point, Fermi level, Graphene, Graphene based Field Effect Transistor, Output Characteristics, Transfer characteristics",
author = "Selvarajan, {Reena Sri} and Hamzah, {Azrul Azlan} and {Yeop Majlis}, Burhanuddin",
year = "2017",
doi = "10.1117/12.2273759",
language = "English",
volume = "10352",
booktitle = "Biosensing and Nanomedicine X",
publisher = "SPIE",

}

TY - GEN

T1 - Electrical characteristics of Graphene based Field Effect Transistor (GFET) biosensor for ADH detection

AU - Selvarajan, Reena Sri

AU - Hamzah, Azrul Azlan

AU - Yeop Majlis, Burhanuddin

PY - 2017

Y1 - 2017

N2 - First pristine graphene was successfully produced by mechanical exfoliation and electrically characterized in 2004 by Andre Geim and Konstantin Novoselov at University of Manchester. Since its discovery in 2004, graphene also known as 'super' material that has enticed many researchers and engineers to explore its potential in ultrasensitive detection of analytes in biosensing applications. Among myriad reported sensors, biosensors based on field effect transistors (FETs) have attracted much attention. Thus, implementing graphene as conducting channel material hastens the opportunities for production of ultrasensitive biosensors for future device applications. Herein, we have reported electrical characteristics of graphene based field effect transistor (GFET) for ADH detection. GFET was modelled and simulated using Lumerical DEVICE charge transport solver (DEVICE CT). Electrical characteristics comprising of transfer and output characteristics curves are reported in this study. The device shows ambipolar curve and achieved a minimum conductivity of 0.23912 e5A at Dirac point. However, the curve shifts to the left and introduces significant changes in the minimum conductivity as drain voltage is increased. Output characteristics of GFET exhibits linear Id - Vd dependence characteristics for gate voltage ranging from 0 to 1.5 V. In addition, behavior of electrical transport through GFET was analyzed for various simulation temperatures. It clearly proves that the electrical transport in GFET is dependent on the simulation temperature as it may vary the maximum resistance in channel of the device. Therefore, this unique electrical characteristics of GFET makes it as a promising candidate for ultrasensitive detection of small biomolecules such as ADH in biosensing applications.

AB - First pristine graphene was successfully produced by mechanical exfoliation and electrically characterized in 2004 by Andre Geim and Konstantin Novoselov at University of Manchester. Since its discovery in 2004, graphene also known as 'super' material that has enticed many researchers and engineers to explore its potential in ultrasensitive detection of analytes in biosensing applications. Among myriad reported sensors, biosensors based on field effect transistors (FETs) have attracted much attention. Thus, implementing graphene as conducting channel material hastens the opportunities for production of ultrasensitive biosensors for future device applications. Herein, we have reported electrical characteristics of graphene based field effect transistor (GFET) for ADH detection. GFET was modelled and simulated using Lumerical DEVICE charge transport solver (DEVICE CT). Electrical characteristics comprising of transfer and output characteristics curves are reported in this study. The device shows ambipolar curve and achieved a minimum conductivity of 0.23912 e5A at Dirac point. However, the curve shifts to the left and introduces significant changes in the minimum conductivity as drain voltage is increased. Output characteristics of GFET exhibits linear Id - Vd dependence characteristics for gate voltage ranging from 0 to 1.5 V. In addition, behavior of electrical transport through GFET was analyzed for various simulation temperatures. It clearly proves that the electrical transport in GFET is dependent on the simulation temperature as it may vary the maximum resistance in channel of the device. Therefore, this unique electrical characteristics of GFET makes it as a promising candidate for ultrasensitive detection of small biomolecules such as ADH in biosensing applications.

KW - Ambipolar curve

KW - Biosensing

KW - Dirac point

KW - Fermi level

KW - Graphene

KW - Graphene based Field Effect Transistor

KW - Output Characteristics

KW - Transfer characteristics

UR - http://www.scopus.com/inward/record.url?scp=85033448406&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85033448406&partnerID=8YFLogxK

U2 - 10.1117/12.2273759

DO - 10.1117/12.2273759

M3 - Conference contribution

VL - 10352

BT - Biosensing and Nanomedicine X

PB - SPIE

ER -