Highly Selective and Sensitive NO Gas Sensor Based on NbTe<sub>2</sub> Monolayers: Unveiling the Role of Electronic Transport Mechanism
Nitrogen-containing toxic gases, commonly generated in chemical industries and combustion processes, pose severe risks to human health and atmospheric environments. Therefore, it is urgently necessary to develop efficient gas-sensing materials for these pollutants. In this study, a systematic investigation was conducted of gas-sensing capabilities in performance of single-layer NbTe<sub>2</sub> toward nitrogen-containing toxic gases (NO, NO<sub>2</sub>, N<sub>2</sub>O, and NH<sub>3</sub>) using a first-principles method based on density functional theory combined with nonequilibrium Green's function methods. The results demonstrate that monolayer NbTe<sub>2</sub> exhibits excellent kinetic stability and metallic characteristics, as evidenced by its intrinsic band structure and density of states. Notably, NO and NO<sub>2</sub> molecules stably adsorb on Te atoms on the NbTe<sub>2</sub> surface, with adsorption energies and Bader charge transfer analyses revealing superior sensing sensitivity toward NO and NO<sub>2</sub> gases, primarily attributed to chemical adsorption mechanisms. N<sub>2</sub>O and NH<sub>3</sub> mainly exhibit weakly interacting physical adsorption. Furthermore, transport characteristics highlight the selectivity of NbTe<sub>2</sub>-based sensors for NO, achieving maximum sensitivities of 87.09% and 87.86% along vertical and horizontal directions, respectively, significantly surpassing those for NO<sub>2</sub> (27.45% and 15.42%). Microscopic insights from transport spectra under varying bias voltages and scattering states of adsorbed molecules elucidate the enhanced selectivity and sensitivity of NbTe<sub>2</sub> toward NO. These findings provide a theoretical foundation for the application of monolayer NbTe<sub>2</sub> in high-performance, stable NO gas detection, offering a promising strategy for environmental monitoring and industrial safety.
Authors
- Mengqiu Long (ORCID: https://orcid.org/0000-0003-4184-9177)
- Shenlang Yan
Institutions
- University of Science and Technology (YE)
- Central South University (CN)
- Hunan University (CN)
- Cal Humanities (US)
- Gannan Medical University (CN)
- University of the Humanities (MN)
- Gannan Normal University (CN)
- Jiangxi University of Science and Technology (CN)
Publication Details
- Journal
- Langmuir
- Published
- 2025-08-14
- DOI
- https://doi.org/10.1021/acs.langmuir.5c03397
- Citations
- 1
- Primary Topic
- Gas Sensing Nanomaterials and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 0.73