Issue 41, 2024, Issue in Progress

Detection of nitro-aromatics using C5N2 as an electrochemical sensor: a DFT approach

Abstract

Nitroaromatics impose severe health problems and threats to the environment. Therefore, the detection of such hazardous substances is essential to save the whole ecosystem. Herein, the C5N2 sheet is used as an electrochemical sensor for the detection of 1,3-dinitrobenzene (1,3-DNB), trinitrotoluene (TNT), and picric acid (PA) using the PBE0/def2SVP level of theory as implemented in Gaussian 16. The highest interaction energy was observed for the picric acid@C5N2 complex. The trend in interaction energies for the studied system is PA@C5N2 >TNT@C5N2 >1,3-DNB@C5N2. The studied systems were further analysed by qualitative and quantitative analyses to determine the interactions between the nitroaromatic analytes and the C5N2 sheet. Electronic properties of all analytes@C5N2 complexes have been examined by NBO, EDD, FMO and DOS analysis. QTAIM analysis depicts the stronger non-covalent interactions for the PA@C5N2, which shows consistency with interaction energy and NCI analysis. Furthermore, NBO and FMO analyses show that the C5N2 substrate exhibits high sensitivity and selectivity towards the picric acid compared to TNT and 1,3-DNB nitroaromatics. EDD and DOS analyses are in agreement with NBO and FMO analyses. Furthermore, the recovery time of the studied system has been computed to determine the efficiency of C5N2 material as an electrochemical sensor. Overall, the results show that carbon nitride can be a good sensor for the detection of nitroaromatics.

Graphical abstract: Detection of nitro-aromatics using C5N2 as an electrochemical sensor: a DFT approach

Supplementary files

Article information

Article type
Paper
Submitted
01 Aug 2024
Accepted
17 Sep 2024
First published
23 Sep 2024
This article is Open Access
Creative Commons BY license

RSC Adv., 2024,14, 30116-30126

Detection of nitro-aromatics using C5N2 as an electrochemical sensor: a DFT approach

Nabeela, M. A. Hashmi, A. N. S. Saqib, A. Kamran and A. Lakhani, RSC Adv., 2024, 14, 30116 DOI: 10.1039/D4RA05600K

This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in other publications without requesting further permissions from the RSC, provided that the correct acknowledgement is given.

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