Analytical Calculation of Sensing Parameters on Carbon Nanotube Based Gas Sensors

Sensors

Elnaz Akbari³  Zolkafle Buntat¹  Mohd Hafizi Ahmad¹  Aria Enzevaee⁴  Rubiyah Yousof³  Syed Muhammad Zafar Iqbal¹  Mohammad Taghi. Ahmadi²  Muhammad Abu Bakar Sidik¹ 

[1] Institute of High Voltage & High Current, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia; E-Mails:;Computational Nanoelectronic Research Group Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia; E-Mail:;Centre for Artificial Intelligence and Robotics (CAIRO), Universiti Teknologi Malaysia, Kuala Lumpur 54100, Malaysia; E-Mails:;Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia; E-Mail:

关键词: carbon nanotubes (CNTs);    NH₃ gas sensor;    I–V characteristic;    field effect transistor (FET);   

DOI  :  10.3390/s140305502

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.