Analytical modelling of sensing performance of carbon nanotubes for gas sensing

Carbon nanotubes as a new variety of quasi one-dimensional (1D) materials belong to the family of carbon-based nanostructures, which have recently ignited tremendous research interest. The latest discoveries of the outstanding properties of carbon nanotubes (CNTs) in terms of their electronic and st...

Full description

Bibliographic Details
Main Authors:	Ijeomah, Geoffrey, Fahmi, Samsuri, Mohamad Adzhar, Md Zawawi
Format:	Article
Language:	English
Published:	Inderscience Enterprises Ltd. 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/19691/ http://umpir.ump.edu.my/id/eprint/19691/ http://umpir.ump.edu.my/id/eprint/19691/ http://umpir.ump.edu.my/id/eprint/19691/1/Analytical%20modelling%20of%20sensing%20performance-fkee-2017-1.pdf

id	ump-19691
recordtype	eprints
spelling	ump-196912018-03-19T06:07:10Z http://umpir.ump.edu.my/id/eprint/19691/ Analytical modelling of sensing performance of carbon nanotubes for gas sensing Ijeomah, Geoffrey Fahmi, Samsuri Mohamad Adzhar, Md Zawawi TK Electrical engineering. Electronics Nuclear engineering Carbon nanotubes as a new variety of quasi one-dimensional (1D) materials belong to the family of carbon-based nanostructures, which have recently ignited tremendous research interest. The latest discoveries of the outstanding properties of carbon nanotubes (CNTs) in terms of their electronic and structural behaviours such as, large surface-to-volume ratio, tunable band gap, high mechanical strength, high mobility and extreme sensing capability make them a great candidate for nanoelectronic devices of the future. Due to the importance of nanoscale sensors and biosensors in various areas of our lives, using promising materials such as carbon nanotubes has widely captured the attention of researchers to achieve better sensitivity and accuracy in these devices. Up until now, the majority of investigations have focused on experimental studies for sensors. Therefore, there is a lack of analytical models in comparison to experimental investigations. In order to model the transport parameters of a CNT-based gas sensor, the field effect transistor (FET)-based structure has been employed as a primary model for a gas detection sensor. The conductance of the carbon nanotube has been affected under exposure to the target analyte – NH3 gas molecules. The absorption of NH3 gas concentration on the CNT surface follows a chemical reaction between CNTs and the NH3 gas. Therefore, it modulates the current-voltage (I-V) characteristics and conductance of the proposed CNT-based gas sensor. The I-V characteristics of the CNT-based sensors have been proposed as a criterion to detect the effect of gas absorption. Finally, the accuracy of the proposed models were validated by benchmarking them on existing experimental works. Inderscience Enterprises Ltd. 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/19691/1/Analytical%20modelling%20of%20sensing%20performance-fkee-2017-1.pdf Ijeomah, Geoffrey and Fahmi, Samsuri and Mohamad Adzhar, Md Zawawi (2017) Analytical modelling of sensing performance of carbon nanotubes for gas sensing. International Journal of Nano and Biomaterials, 7 (1). pp. 14-28. ISSN 1752-8941 https://doi.org/10.1504/IJNBM.2017.089320 doi: 10.1504/IJNBM.2017.089320
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Ijeomah, Geoffrey Fahmi, Samsuri Mohamad Adzhar, Md Zawawi Analytical modelling of sensing performance of carbon nanotubes for gas sensing
description	Carbon nanotubes as a new variety of quasi one-dimensional (1D) materials belong to the family of carbon-based nanostructures, which have recently ignited tremendous research interest. The latest discoveries of the outstanding properties of carbon nanotubes (CNTs) in terms of their electronic and structural behaviours such as, large surface-to-volume ratio, tunable band gap, high mechanical strength, high mobility and extreme sensing capability make them a great candidate for nanoelectronic devices of the future. Due to the importance of nanoscale sensors and biosensors in various areas of our lives, using promising materials such as carbon nanotubes has widely captured the attention of researchers to achieve better sensitivity and accuracy in these devices. Up until now, the majority of investigations have focused on experimental studies for sensors. Therefore, there is a lack of analytical models in comparison to experimental investigations. In order to model the transport parameters of a CNT-based gas sensor, the field effect transistor (FET)-based structure has been employed as a primary model for a gas detection sensor. The conductance of the carbon nanotube has been affected under exposure to the target analyte – NH3 gas molecules. The absorption of NH3 gas concentration on the CNT surface follows a chemical reaction between CNTs and the NH3 gas. Therefore, it modulates the current-voltage (I-V) characteristics and conductance of the proposed CNT-based gas sensor. The I-V characteristics of the CNT-based sensors have been proposed as a criterion to detect the effect of gas absorption. Finally, the accuracy of the proposed models were validated by benchmarking them on existing experimental works.
format	Article
author	Ijeomah, Geoffrey Fahmi, Samsuri Mohamad Adzhar, Md Zawawi
author_facet	Ijeomah, Geoffrey Fahmi, Samsuri Mohamad Adzhar, Md Zawawi
author_sort	Ijeomah, Geoffrey
title	Analytical modelling of sensing performance of carbon nanotubes for gas sensing
title_short	Analytical modelling of sensing performance of carbon nanotubes for gas sensing
title_full	Analytical modelling of sensing performance of carbon nanotubes for gas sensing
title_fullStr	Analytical modelling of sensing performance of carbon nanotubes for gas sensing
title_full_unstemmed	Analytical modelling of sensing performance of carbon nanotubes for gas sensing
title_sort	analytical modelling of sensing performance of carbon nanotubes for gas sensing
publisher	Inderscience Enterprises Ltd.
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/19691/ http://umpir.ump.edu.my/id/eprint/19691/ http://umpir.ump.edu.my/id/eprint/19691/ http://umpir.ump.edu.my/id/eprint/19691/1/Analytical%20modelling%20of%20sensing%20performance-fkee-2017-1.pdf
first_indexed	2023-09-18T22:28:11Z
last_indexed	2023-09-18T22:28:11Z
_version_	1777416108182077440

Analytical modelling of sensing performance of carbon nanotubes for gas sensing

Similar Items