Literature DB >> 32858456

Novel green phosphorene sheets to detect tear gas molecules - A DFT insight.

R Bhuvaneswari1, V Nagarajan1, R Chandiramouli2.   

Abstract

The green phosphorene (GP) nanosheet, one of the allotropes of layered phosphorene is employed to detect the existence of tear gas molecules. The tear gas molecules such as 1-bromo-2-butanone, bromoacetone, and bromobenzyl cyanide are examined with the service of the ATK-VNL package by employing density functional theory (DFT) method. The geometrical stability of the chief component is affirmed with the support of formation energy and electronic fingerprints of GP nanosheet like electron density, band structure, and projected density of states (PDOS) spectrum are estimated. In this research work, using DFT technique, for the first time, surface adsorption characteristics of the target molecules on GP nanosheet are explored with the assistance of adsorption energy, average energy gap variation, and Bader charge transfer, which further suggest the deployment of GP in sensing the presence of tear gas molecules.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Band structure; Electron density; Green phosphorene; Nanosheet; Tear gas

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Year:  2020        PMID: 32858456     DOI: 10.1016/j.jmgm.2020.107706

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  1 in total

1.  Green Phosphorene as a Promising Biosensor for Detection of Furan and p-Xylene as Biomarkers of Disease: A DFT Study.

Authors:  Aref Aasi; Erfan Aasi; Sadegh Mehdi Aghaei; Balaji Panchapakesan
Journal:  Sensors (Basel)       Date:  2022-04-21       Impact factor: 3.847

  1 in total

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