journal article·2025-02-21

DFT Study of Boron Nitride Nanotubes Modified with Metal Oxide Clusters (CrO3, MoO3, and WO3) as Sensing Materials for Acetone Detection

Yuanchao Li, Yan Wang, Xiliang Yan

ACS Applied Nano Materials· Volume 8· Issue 7
Publisher page

Abstract

Developing excellent gas sensors for detecting acetone is quite essential in industrial production and disease detection. Herein, density functional theory (DFT) calculation is used to investigate the adsorption behavior and sensing ability of acetone on (CrO 3 ) 3, (MoO 3 ) 3, and (WO 3 ) 3 cluster-modified boron nitride nanotubes (BNNT). The results show that there is a clear linear relationship between the electronic properties and the electronegativity of metal oxides. Acetone is synergistically captured by metal oxides and BNNT, with an adsorption strength of −0.28 ((CrO 3 ) 3 /BNNT) to −1.10 eV ((WO 3 ) 3 /BNNT). The ideal recovery time (10 s for 298 K and 4 s for 998 K), obvious charge transfer (0.253 and 0.291 e ), moderate adsorption ability (−0.77 and −1.10 eV), and sensing response degree (281 and 908) reveal the potential of (MoO 3 ) 3 /BNNT and (WO 3 ) 3 /BNNT as reusable resistance-type gas sensors. Note that they also exhibit relatively high acetone selectivity in a complex environment. Meanwhile, applying a higher positive electric field has a positive effect on improving sensing performance. The significant change in the UV–vis spectrum indicates that (CrO 3 ) 3 /BNNT is a promising optical sensing material for acetone gas. This research offers insights into developing high-performance metal oxide/BNNT nanocomposite materials for detecting acetone gas.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Boron and Carbon Nanomaterials Research · Gas Sensing Nanomaterials and Sensors · 2D Materials and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Animal Science

South China Agricultural University

College of Food Science and Engineering

Lingnan Normal University

Institute of Environmental Research at Greater Bay Area, Key Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education

Guangzhou University

Funding

National Natural Science Foundation of China · Basic and Applied Basic Research Foundation of Guangzhou

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