Literature DB >> 33383916

Comparative Study of Phosgene Gas Sensing Using Carbon and Boron Nitride Nanomaterials-A DFT Approach.

Emmanuel Obroni Kweitsu1, Stephen Kanga Armoo2, Kwabena Kan-Dapaah3, Eric Kwabena Kyeh Abavare4, David Dodoo-Arhin1, Abu Yaya1.   

Abstract

Phosgene (COCl2), a valuable industrial compound, maybe a public safety and health risk due to potential abuse and possible accidental spillage. Conventional techniques suffer from issues related to procedural complexity and sensitivity. Therefore, there is a need for the development of simple and highly sensitive techniques that overcome these challenges. Recent advances in nanomaterials science offer the opportunity for the development of such techniques by exploiting the unique properties of these nanostructures. In this study, we investigated the potential of six types of nanomaterials: three carbon-based ([5,0] CNT, C60, C70) and three boron nitride-based (BNNT, BN60, BN70) for the detection of COCl2. The local density approximation (LDA) approach of the density functional theory (DFT) was used to estimate the adsorption characteristics and conductivities of these materials. The results show that the COCl2 molecule adsorbed spontaneously on the Fullerene or nanocages and endothermically on the pristine zigzag nanotubes. Using the magnitude of the bandgap modulation, the order of suitability of the different nanomaterials was established as follows: PBN60 (0.19%) < PC70 (1.39%) < PC60 (1.77%) < PBNNT (27.64%) < PCNT (65.29%) < PBN70 (134.12%). Since the desired criterion for the design of an electronic device is increased conductivity after adsorption due to the resulting low power consumption, PC60 was found to be most suitable because of its power consumption as it had the largest decrease of 1.77% of the bandgap.

Entities:  

Keywords:  DFT; LDA; boron nitride; carbon nanotube; phosgene

Year:  2020        PMID: 33383916     DOI: 10.3390/molecules26010120

Source DB:  PubMed          Journal:  Molecules        ISSN: 1420-3049            Impact factor:   4.411


  1 in total

1.  A theoretical study of allopurinol drug sensing by carbon and boron nitride nanostructures: DFT, QTAIM, RDG, NBO and PCM insights.

Authors:  Md Helal Miah; Md Rakib Hossain; Md Saiful Islam; Tahmina Ferdous; Farid Ahmed
Journal:  RSC Adv       Date:  2021-11-30       Impact factor: 4.036

  1 in total

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