Effectiveness of Graphene Nano-Ribbon Tunnel Field Effect Transistor for Bio-Molecular Identification

被引:0
|
作者
Nayana, G. H. [1 ]
Vimala, P. [1 ]
机构
[1] Dayananda Sagar Coll Engn, Dept ECE, Bengaluru 560078, India
关键词
Graphene; sensitivity; sub-threshold; biomolecules; technology computer aided design;
D O I
10.1142/S1793292023501138
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
This paper examines the Double gate Graphene Nano-ribbon Tunnel Field-Effect Transistor (DG GNR TFET) for bio-sensing applications. The biomolecules are Streptavidin, APTES, Biotin, DNA and protein. Differentiation between biomolecules is possible based on dielectric permittivity and charge concentration. The protein switching ratio (I-ON/I-OFF) is 25.7 times that of Streptavidin and around 300 times that without any biomolecule in the cavity. The maximum current sensitivity among the biomolecules is achieved by protein biomolecule for VGS = 0.7V. The sub-threshold swing obtained for a biomolecule in DG GNR TFET is 40 mV/dec compared to that of 80mV/dec for an empty cavity. The device characteristics reveal that the drain current is maximum with a biomolecule in a cavity compared to an empty cavity. Results obtained emphasize that double gate Graphene Nano-Ribbon TFET is suitable as a biosensor. The simulations are executed using Silvaco Technology Computer Aided Design (TCAD).
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Numerical investigation of the effect of substrate surface roughness on the performance of zigzag graphene nano-ribbon field effect transistors symmetrically doped with BN
    Sanaeepur, Majid
    Goharrizi, Arash Yazdanpanah
    Sharifi, Mohammad Javad
    BEILSTEIN JOURNAL OF NANOTECHNOLOGY, 2014, 5 : 1569 - 1574
  • [22] A novel Tunneling Graphene Nano Ribbon Field Effect Transistor with dual material gate: Numerical studies
    Ghoreishi, Seyed Saleh
    Saghafi, Kamyar
    Yousefi, Reza
    Moravvej-Farshi, Mohammad Kazem
    SUPERLATTICES AND MICROSTRUCTURES, 2016, 97 : 277 - 286
  • [23] A Computational Study of an Optimized MOS-Like Graphene Nano Ribbon Field Effect Transistor (GNRFET)
    Khorshidsavar, Amin
    Ghoreishi, Seyed Saleh
    Yousefi, Reza
    ECS JOURNAL OF SOLID STATE SCIENCE AND TECHNOLOGY, 2018, 7 (03) : P96 - P101
  • [24] Planar graphene tunnel field-effect transistor
    Katkov, V. L.
    Osipov, V. A.
    APPLIED PHYSICS LETTERS, 2014, 104 (05)
  • [25] Graphene Bio-Field-Effect Transistor Myth
    Janata, Jiri
    ECS SOLID STATE LETTERS, 2012, 1 (06) : M29 - M31
  • [26] Schottky-Barrier-Type Graphene Nano-Ribbon Field-Effect Transistors: A Study on Compact Modeling, Process Variation, and Circuit Performance
    Chen, Ying-Yu
    Sangai, Amit
    Gholipour, Morteza
    Chen, Deming
    PROCEEDINGS OF THE 2013 IEEE/ACM INTERNATIONAL SYMPOSIUM ON NANOSCALE ARCHITECTURES (NANOARCH), 2013, : 82 - 88
  • [27] Design of bilayer graphene nanoribbon tunnel field effect transistor
    Vobulapuram, Ramesh Kumar
    Shaik, Javid Basha
    Venkatramana, P.
    Mekala, Durga Prasad
    Lingayath, Ujwala
    CIRCUIT WORLD, 2023, 49 (02) : 174 - 179
  • [28] Graphene antidot nanoribbon tunnel field-effect transistor
    Xiao, Zhixing
    MICRO & NANO LETTERS, 2022, 17 (08) : 169 - 174
  • [29] Graphene Based Tunnel Field Effect Transistor for RF Applications
    Vijh, Manjula
    Gupta, R. S.
    Pandey, Sujata
    2019 PHOTONICS & ELECTROMAGNETICS RESEARCH SYMPOSIUM - SPRING (PIERS-SPRING), 2019, : 256 - 259
  • [30] Computational study of bandgap-engineered Graphene nano ribbon tunneling field effect transistor (BE-GNR-TFET)
    Abbaszadeh, Soheil
    Ghoreishi, Seyed Saleh
    Yousefi, Reza
    Aderang, Habib
    INTERNATIONAL JOURNAL OF NANO DIMENSION, 2020, 11 (04) : 392 - 398