Current–voltage modeling of graphene-based DNA sensor

被引：0
|
作者：
H. Karimi Feiz Abadi
R. Yusof
S. Maryam Eshrati
S. D. Naghib
M. Rahmani
M. Ghadiri
E. Akbari
M. T. Ahmadi
机构：
[1] Universiti Teknologi Malaysia,Centre for Artificial Intelligence and Robotics
[2] Universiti Teknologi Malaysia,Malaysia Japan International Institute of Technology
[3] Universiti Teknologi Malaysia,Faculty of Bioscience and Medical Engineering
[4] Universiti Teknologi Malaysia,Faculty of Chemical Engineering
[5] Arak Branch Islamic Azad University,Department of Computer Engineering
[6] Universiti Teknologi Malaysia,Faculty of Electrical Engineering
来源：
Neural Computing and Applications | 2014年 / 24卷
关键词：
Nanostructured graphene; Current–voltage characteristic; Biosensors-based FETs; DNA molecules;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Graphene is considered as an excellent biosensing material due to its outstanding and unique electronic properties such as providing large area detection, ultra-high mobility and ambipolar field-effect characteristic. In this paper, general conductance model of DNA sensor-based graphene is obtained, and the electrical performance of nanostructured graphene-based DNA sensor is evaluated by the current–voltage characteristic. As a result, by increasing the complementary DNA concentration, the drain current is going toward higher amounts.
引用
收藏
页码：85 / 89
页数：4
相关论文
共 50 条
  • [31] Transverse current rectification in a graphene-based superlattice
    D. V. Zavialov
    V. I. Konchenkov
    S. V. Kruchkov
    [J]. Semiconductors, 2012, 46 : 109 - 116
  • [32] Current Reduction Phenomenon in Graphene-Based Device
    Sun, Honghui
    Fang, Liang
    [J]. COMPUTER ENGINEERING AND TECHNOLOGY, NCCET 2014, 2015, 491 : 170 - 175
  • [33] Transverse Current Rectification in a Graphene-Based Superlattice
    Zavialov, D. V.
    Konchenkov, V. I.
    Kruchkov, S. V.
    [J]. SEMICONDUCTORS, 2012, 46 (01) : 109 - 116
  • [34] Modeling Graphene-Based Plasmonic Waveguides by Mixed FEM With Surface Current Boundary Condition
    Liu, Na
    Chen, Xi
    Cao, Ying
    Cai, Guoxiong
    Zhuang, Mingwei
    Liu, Qing Huo
    [J]. IEEE PHOTONICS TECHNOLOGY LETTERS, 2021, 33 (14) : 735 - 738
  • [35] Detection of single-stranded DNA using the Dirac voltage change of graphene-based FETs
    Yi, Jong Chang
    Kim, Young June
    Kim, Yi Young
    Lee, Seok
    Woo, Deok Ha
    Kim, Chulki
    [J]. PROCEEDINGS OF THE 2019 IEEE REGION 10 CONFERENCE (TENCON 2019): TECHNOLOGY, KNOWLEDGE, AND SOCIETY, 2019, : 2051 - 2053
  • [36] Modeling thermal conductivity of graphene-based nanocomposites
    Sandu, Titus
    Boldeiu, George
    Voicu, Rodica
    Gologanu, Mihai
    [J]. 2017 INTERNATIONAL SEMICONDUCTOR CONFERENCE (CAS), 40TH EDITION, 2017, : 209 - 212
  • [37] Multiscale Modeling for Graphene-Based Nanoscale Transistors
    Fiori, Gianluca
    Iannaccone, Giuseppe
    [J]. PROCEEDINGS OF THE IEEE, 2013, 101 (07) : 1653 - 1669
  • [38] RF RING OSCILLATOR GRAPHENE-BASED STRAIN SENSOR
    Tawfik, Mohamed W.
    Sharaf, Abdelhameed
    Serry, Mohamed
    [J]. 2021 21ST INTERNATIONAL CONFERENCE ON SOLID-STATE SENSORS, ACTUATORS AND MICROSYSTEMS (TRANSDUCERS), 2021, : 1359 - 1362
  • [39] A Graphene-Based Electrochemical Sensor for Sensitive Detection of Vanillin
    Peng, Jinyun
    Hou, Chuantao
    Hu, Xiaoya
    [J]. INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2012, 7 (02): : 1724 - 1733
  • [40] Graphene-Based Metamaterial Sensor for Pesticide Trace Detection
    Lang, Tingting
    Xiao, Meiyu
    Cen, Wenyang
    [J]. BIOSENSORS-BASEL, 2023, 13 (05):
12345