Enhancing SO<sub>2</sub> and NO<sub>2</sub> Gas Sensing Using ZnCdO<sub>2</sub>-Based Porous Nanosheets: A DFT Perspective
The exceptional electronic properties, high surface area, and structural versatility of two-dimensional materials make them excellent candidates for gas-sensing applications. In this study, we propose novel biphenylene (b) and graphenylene (g) lattices of ZnCdO<sub>2</sub> and explore their potential for detecting NO<sub>2</sub> and SO<sub>2</sub> gases via density functional theory calculations. The dynamic and thermal stability of b-(g)-ZnCdO<sub>2</sub> monolayers is confirmed through phonon dispersion and ab initio molecular dynamics simulations. Both gases exhibit favorable adsorption on the monolayers, with significant charge transfer and electronic interaction. Notably, SO<sub>2</sub> interaction on g-ZnCdO<sub>2</sub> is characterized by weak chemisorption, supported by moderate adsorption energy, long-range interaction, and clear surface bonding, suggesting reusability under ambient conditions. Gas adsorption also induces substantial modulation in the work function, reinforcing the suitability of these monolayers for work-function-type sensing. In particular, the g-ZnCdO<sub>2</sub>+SO<sub>2</sub> system shows an ultrafast recovery time at room temperature, with improved desorption kinetics at elevated temperatures. These insights position b-(g)-ZnCdO<sub>2</sub> monolayers as promising platforms for efficient and reusable toxic gas sensors.
Authors
- Júlio R. Sambrano (ORCID: https://orcid.org/0000-0002-5217-7145)
- Warda Elaggoune (ORCID: https://orcid.org/0000-0002-9241-1864)
- Nicolas F. Martins (ORCID: https://orcid.org/0000-0001-7653-0428)
Institutions
- Laboratoire de Mathématiques d'Orsay (FR)
- Kaduna State University (NG)
- System Simulation (United Kingdom) (GB)
- Adnan Menderes University (TR)
- Universidade Estadual Paulista (Unesp) (BR)
Publication Details
- Journal
- ACS Omega
- Published
- 2025-08-13
- DOI
- https://doi.org/10.1021/acsomega.5c05129
- Citations
- 4
- Primary Topic
- Fuzzy Logic and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 9.92