Surface Sensitivity of Ultrasonically Treated Carbon Nanotube Network towards Ammonia


Detection of ammonia by carbon nanotubes is an extensively studied area where tremendous progress was achieved so far in their sensing performance. In this paper, we focused on carbon nanotube network sensors of NH 3 aiming to develop better understanding of their gas detection behavior and improved sensing response. Our experiments showed improved sensing performance for single-walled carbon nanotubes of (6,5) chirality ultrasonically treated at high power and then forming bundled nanotube network upon thermal annealing. Two chemiresistive sensing pathways were observed for such networks resulting in increased and decreased resistance in presence of different ammonia concentrations from 10 2 to 10 4 ppm. This multidirectional chemiresistive response was comprehensively explained via various phenomena, such as partial and full neutralization of p-type conductivity of the nanotubes, change of the Schottky barrier, and dipoles at the interface between nanotubes and gold electrodes. The proposed sensing mechanisms are believed to provide strong support for further development of ammonia sensors with optimized performance.

Publication DOI:
Divisions: Engineering & Applied Sciences > Electrical, Electronic & Power Engineering
Engineering & Applied Sciences > Aston Institute of Photonics Technology
Engineering & Applied Sciences
Additional Information: © 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Uncontrolled Keywords: Ammonia,Bundled nanotube networks,Carbon nanotubes,Sensing,Chemistry(all),Condensed Matter Physics,Physics and Astronomy(all),Surfaces and Interfaces,Surfaces, Coatings and Films
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Related URLs: https://www.sci ... 3281?via%3Dihub (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Online Date: 2019-12-01
Published Date: 2019-12-01
Authors: Lutsyk, Petro ( 0000-0002-7004-1946)
Shankar, Prabakaran
Rozhin, Oleksiy ( 0000-0003-2271-8227)
Kulinich, Sergei A.



Version: Accepted Version

Access Restriction: Restricted to Repository staff only until 22 July 2020.

License: Creative Commons Attribution Non-commercial No Derivatives

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