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An analytical approach to evaluate the performance of graphene and carbon nanotubes for NH3 gas sensor applications

Akbari, Elnaz and Arora, Vijay Kumar and Enzevaee, Aria and Ahmadi, Mohammad Taghi and Saeidmanesh, Mehdi and Khaledian, Mohsen and Karimi, Hediyeh and Yusof, Rubiya (2014) An analytical approach to evaluate the performance of graphene and carbon nanotubes for NH3 gas sensor applications. Beilstein Journal of Nanotechnology, 5 . pp. 726-734. ISSN 2190-4286

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Official URL: http://dx.doi.org/10.3762/bjnano.5.85

Abstract

Carbon, in its variety of allotropes, especially graphene and carbon nanotubes (CNTs), holds great potential for applications in variety of sensors because of dangling π-bonds that can react with chemical elements. In spite of their excellent features, carbon nanotubes (CNTs) and graphene have not been fully exploited in the development of the nanoelectronic industry mainly because of poor understanding of the band structure of these allotropes. A mathematical model is proposed with a clear purpose to acquire an analytical understanding of the field-effect-transistor (FET) based gas detection mechanism. The conductance change in the CNT/graphene channel resulting from the chemical reaction between the gas and channel surface molecules is emphasized. NH3 has been used as the prototype gas to be detected by the nanosensor and the corresponding current-voltage (I-V) characteristics of the FET-based sensor are studied. A graphene-based gas sensor model is also developed. The results from graphene and CNT models are compared with the experimental data. A satisfactory agreement, within the uncertainties of the experiments, is obtained. Graphene-based gas sensor exhibits higher conductivity compared to that of CNT-based counterpart for similar ambient conditions

Item Type:Article
Uncontrolled Keywords:carbon nanotube (CNT), conductance, FET-based gas sensor, graphene
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:51769
Deposited By: Siti Nor Hashidah Zakaria
Deposited On:01 Feb 2016 03:54
Last Modified:27 Aug 2018 03:24

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