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:
Online Access:http://umpir.ump.edu.my/id/eprint/19691/1/Analytical%20modelling%20of%20sensing%20performance-fkee-2017-1.pdf
_version_ 1825811838331256832
author Ijeomah, Geoffrey
Fahmi, Samsuri
Mohamad Adzhar, Md Zawawi
author_facet Ijeomah, Geoffrey
Fahmi, Samsuri
Mohamad Adzhar, Md Zawawi
author_sort Ijeomah, Geoffrey
collection UMP
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.
first_indexed 2024-03-06T12:20:16Z
format Article
id UMPir19691
institution Universiti Malaysia Pahang
language English
last_indexed 2024-03-06T12:20:16Z
publishDate 2017
publisher Inderscience Enterprises Ltd.
record_format dspace
spelling UMPir196912018-03-19T06:07:10Z 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. (Published) https://doi.org/10.1504/IJNBM.2017.089320 doi: 10.1504/IJNBM.2017.089320
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
title 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_short Analytical modelling of sensing performance of carbon nanotubes for gas sensing
title_sort analytical modelling of sensing performance of carbon nanotubes for gas sensing
topic TK Electrical engineering. Electronics Nuclear engineering
url http://umpir.ump.edu.my/id/eprint/19691/1/Analytical%20modelling%20of%20sensing%20performance-fkee-2017-1.pdf
work_keys_str_mv AT ijeomahgeoffrey analyticalmodellingofsensingperformanceofcarbonnanotubesforgassensing
AT fahmisamsuri analyticalmodellingofsensingperformanceofcarbonnanotubesforgassensing
AT mohamadadzharmdzawawi analyticalmodellingofsensingperformanceofcarbonnanotubesforgassensing