Issue 54, 2022, Issue in Progress

Discriminating sensing of explosive molecules using graphene–boron nitride–graphene heteronanosheets

Abstract

Since the synthesis of graphene–boron nitride heterostructures, their interesting electronic properties have attracted huge attention for real-world nanodevice applications. In this work, we combined density functional theory (DFT) with a Green's function approach to examine the potential of graphene–boron nitride–graphene heteronanosheets (h-NSHs) for discriminating single molecule sensing. Our result demonstrates that the graphene–boron nitride–graphene (h-NSHs) can be used for discriminate sensing of the 2,4-dinitrotoluene (DNT), octahydro-1,3,5,7-tetranitro-1,3,5,7-tetrazocine (HMX), pentaerythritol tetranitrate (PENT), and 2,4,6-trinitrotoluene (TNT) molecules. We demonstrate that as the length of the BN region increases, the sensitivity of the heteronanosheets to the presence of these explosive substances increases.

Graphical abstract: Discriminating sensing of explosive molecules using graphene–boron nitride–graphene heteronanosheets

Supplementary files

Article information

Article type
Paper
Submitted
28 Sep 2022
Accepted
16 Nov 2022
First published
07 Dec 2022
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2022,12, 35151-35157

Discriminating sensing of explosive molecules using graphene–boron nitride–graphene heteronanosheets

L. A. Algharagholy, Q. H. Al-Galiby, A. A. Al-Backri, H. Sadeghi and A. A. Wabdan, RSC Adv., 2022, 12, 35151 DOI: 10.1039/D2RA06125B

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