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

机译:使用碳和氮化硼纳米材料 - 一种DFT方法对光气感测的比较研究 - DFT方法

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摘要

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.
机译:Phosgene(Cocl2),一个有价值的工业化合物,可能是由于潜在的滥用和可能的偶然溢出来源的公共安全和健康风险。常规技术遭受与程序复杂性和敏感性有关的问题。因此,需要开发克服这些挑战的简单且高度敏感的技术。纳米材料科学的最新进展通过利用这些纳米结构的独特性质,提供了这种技术的发展。在这项研究中,我们研究了六种类型的纳米材料的潜力:三种基于碳([5,0] CNT,C60,C70)和三族氮化硼基(BNNT,BN60,BN70),用于检测COCl2。密度函数理论(DFT)的局部密度近似(LDA)方法用于估计这些材料的吸附特性和导电性。结果表明,COCl2分子在富勒烯或纳米腔上自发吸附,并在原始Z字形纳米管上自发吸附。使用带隙调制的大小,不同纳米材料的适用性顺序建立如下:PBN60(0.19%)

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