A DFT study of the adsorption behavior and sensing properties of CO gas on monolayer MoSe2 in CO2-rich environment

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2024

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Springer Science and Business Media Deutschland GmbH

Abstract

Context: Carbon monoxide, also known as the “silent killer,” is a colorless, odorless, tasteless, and non-irritable gas that, when inhaled, enters the bloodstream and lungs, binds with the hemoglobin, and blocks oxygen from reaching tissues and cells. In this work, the monolayer MoSe<inf>2</inf>-based CO gas sensors were designed using density functional theory calculation with several dopants including Al, Au, Pd, Ni, Cu, and P. Here, Cu and P were found to be the best dopants, with adsorption energies of −0.67 eV (Cu) and −0.54 eV (P) and recovery times of 1.66 s and 13.8 ms respectively. Cu conductivity for CO adsorption was found to be 2.74 times that of CO<inf>2</inf> adsorption in the 1.0–2.26 eV range. P displayed the highest selectivity, followed by Pd and Ni. The dopants, Pd and Ni, were found suitable for building CO gas scavengers due to their high recovery times of 9.76 × 1020 s and 2.47 × 1011 s. Similarly, the adsorption of CO<inf>2</inf> on doped monolayer MoSe<inf>2</inf> was also investigated. In this study, it is found that monolayer MoSe<inf>2</inf> could be employed to create high-performance CO sensors in a CO<inf>2</inf>-rich environment. Method: The electrical characteristics of all doped MoSe<inf>2</inf> monolayers are obtained using a DFT calculation with the PBE-GGA method from the Quantum ESPRESSO package. The self-consistent field (SCF) computations were performed using a 7 × 7 × 1 k-point grid and a norm-conserving pseudo potential (NCPP) file. To determine electrical conductivity, the semi-classical version of Boltzmann transport theory, implemented in the Boltz Trap code, was used. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

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Keywords

carbon dioxide, carbon monoxide, cupric ion, hemoglobin, adsorption, Article, conductance, controlled study, density functional theory, electric conductivity, electric potential, gas, article, gas scavenger, sensor

Citation

Journal of Molecular Modeling, 2024, 30, 8, pp. -

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