Reference Hub1
Graphene-Based Gas Sensor Theoretical Framework

Graphene-Based Gas Sensor Theoretical Framework

Elnaz Akbari, Aria Enzevaee, Hediyeh Karimi, Mohammad Taghi Ahmadi, Zolkafle Buntat
ISBN13: 9781522507369|ISBN10: 1522507361|EISBN13: 9781522507376
DOI: 10.4018/978-1-5225-0736-9.ch005
Cite Chapter Cite Chapter

MLA

Akbari, Elnaz, et al. "Graphene-Based Gas Sensor Theoretical Framework." Handbook of Research on Nanoelectronic Sensor Modeling and Applications, edited by Mohammad Taghi Ahmadi, et al., IGI Global, 2017, pp. 117-149. https://doi.org/10.4018/978-1-5225-0736-9.ch005

APA

Akbari, E., Enzevaee, A., Karimi, H., Ahmadi, M. T., & Buntat, Z. (2017). Graphene-Based Gas Sensor Theoretical Framework. In M. Ahmadi, R. Ismail, & S. Anwar (Eds.), Handbook of Research on Nanoelectronic Sensor Modeling and Applications (pp. 117-149). IGI Global. https://doi.org/10.4018/978-1-5225-0736-9.ch005

Chicago

Akbari, Elnaz, et al. "Graphene-Based Gas Sensor Theoretical Framework." In Handbook of Research on Nanoelectronic Sensor Modeling and Applications, edited by Mohammad Taghi Ahmadi, Razali Ismail, and Sohail Anwar, 117-149. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0736-9.ch005

Export Reference

Mendeley
Favorite

Abstract

Both graphene and CNTs experience changes in their electrical conductance when exposed to different gases (such as CO2, NO2, and NH3), and they are, therefore, ideal candidates for sensing/measuring applications. In this research, a set of novel gas sensor models employing Field Effect Transistor structure using these materials have been proposed. In the suggested models, different physical properties such as conductance, capacitance, drift velocity, carrier concentration, and the current-voltage (I-V) characteristics of graphene/CNTs have been employed to model the sensing mechanism. An Artificial Neural Network model has also been developed for the special case of a CNT gas sensor exposed to NH3 to provide a platform to check the accuracy of the models. The performance of the models has been compared with published experimental data which shows a satisfactory agreement.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.