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Theoretical study on efficient HF gas sensing by functionalized, decorated, and doped nanocone strategy.
- Source :
-
Journal of Molecular Graphics & Modelling . Nov2023, Vol. 124, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- Hydrogen fluoride (HF) is a highly dangerous and corrosive gas that can cause severe burns and respiratory damage. The density functional theory method (DFT) used to study the interaction between the HF gas and the surface of a carbon nanocone (CNC) doped with gallium atom as a chemical sensor. The results showed that CNC wasn't a good candidate to sense the HF gas and consequently its electrical properties are changed insignificant. To improve the properties of the CNC, several strategies were tried: functionalizing by pyridinol (Pyr) and pyridinol oxide (PyrO), decorated with metals (M = B, Al, and Ga), and doped with element of third group (M = B, Al, and Ga). The obtained data demonstrated that the promising results were obtained by doping the CNC with Ga atom. After full optimization, we achieved one stable configuration between the HF gas and CNC-Ga structure (S15 configuration) with E ads = −19.86 kcal/mol. The electronic properties of the CNC-Ga structure is sensible changed after the HF molecule is adsorbed. According to calculated the energy gap between HOMO and LUMO orbitals of S15 configuration are increased which could be applied a chemical signal. Eventually, one could propose that the CNC-Ga has the ability to act as a Φ-type sensor based on its physical adsorption energy and quick recovery time and doped with gallium atom is a promising strategy. [Display omitted] • Pristine CNC isn't a good candidate to sense the HF gas. • Several strategies containing 1) functionalized 2) decorated and 3) doped strategies for possible sensing of HF. • One stable configuration between the HF gas and the CNC-Ga structure with Eads = −19.86 kcal/mol was formed. • The CNC-Ga can be played as an Φ-type sensor due to physical adsorption energy and low recovery time. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10933263
- Volume :
- 124
- Database :
- Academic Search Index
- Journal :
- Journal of Molecular Graphics & Modelling
- Publication Type :
- Academic Journal
- Accession number :
- 169832674
- Full Text :
- https://doi.org/10.1016/j.jmgm.2023.108574