Analytical Calculation of Sensing Parameters on Carbon Nanotube Based Gas Sensors

Sidik, Muhammad Abu Bakar and Akbari, Elnaz and Buntat, Zolkafle and Ahmad, Mohd Hafizi (2014) Analytical Calculation of Sensing Parameters on Carbon Nanotube Based Gas Sensors. Sensors (14). pp. 5502-5515. ISSN 14248220

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Official URL: http://mdpi.com/journal/sensors

Abstract

Carbon Nanotubes (CNTs) are generally nano-scale tubes comprising a network of carbon atoms in a cylindrical setting that compared with silicon counterparts present outstanding characteristics such as high mechanical strength, high sensing capability and large surface-to-volume ratio. These characteristics, in addition to the fact that CNTs experience changes in their electrical conductance when exposed to different gases, make them appropriate candidates for use in sensing/measuring applications such as gas detection devices. In this research, a model for a Field Effect Transistor (FET)-based structure has been developed as a platform for a gas detection sensor in which the CNT conductance change resulting from the chemical reaction between NH3 and CNT has been employed to model the sensing mechanism with proposed sensing parameters. The research implements the same FET-based structure as in the work of Peng et al. on nanotube-based NH3 gas detection. With respect to this conductance change, the I?V characteristic of the CNT is investigated. Finally, a comparative study shows satisfactory agreement between the proposed model and the experimental data from the mentioned research

Item Type: Article
Uncontrolled Keywords: carbon nanotubes (CNTs); NH3 gas sensor; I?V characteristic; field effect transistor (FET)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK1 Electrical engineering--Periodicals. Automatic control--Periodicals. Computer science--Periodicals. Information technology--Periodicals. Automatic control. Computer science. Electrical engineering. Information technology.
Divisions: Faculty of Engineering > 20201-Electrical Engineering (S1)
Depositing User: Muhammad Abu Bakar Sidik
Date Deposited: 19 Dec 2019 14:18
Last Modified: 19 Dec 2019 14:18
URI: http://repository.unsri.ac.id/id/eprint/22005

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