Gas-Sensing Mechanism of Transformer Oil Dissolved Gases (CO, C<sub>2</sub>H<sub>4</sub>, CH<sub>4</sub>) on the Pd-Modified Janus SnSSe Monolayer: A Density Functional Theory Study

This study investigates the gas sensing properties of the Pd-modified Janus SnSSe monolayer for transformer oil dissolved gases (CO, C<sub>2</sub>H<sub>4</sub>, and CH<sub>4</sub>) using density functional theory (DFT). The results demonstrate that the incorporation of Pd metal atom onto the S and Se sites of the SnSSe monolayer significantly enhances their adsorption capabilities while maintaining structural stability. By analyzing key parameters such as adsorption energy, adsorption distance, charge density, density of states, orbital theory, recovery time, sensitivity, and work function, the adsorption behavior and sensing mechanisms of various gas systems are thoroughly examined. The analysis reveals that the intrinsic SnSSe monolayer is not suitable for detecting the three gases and exhibits a physical adsorption interaction. In contrast, the Pd-modified SnSSe(S)/SnSSe(Se) monolayer shows enhanced adsorption energies of -0.979, -0.740, and -0.099 eV for CO, C<sub>2</sub>H<sub>4</sub>, and CH<sub>4</sub>, respectively, with corresponding values of -1.120, -0.786, and -0.112 eV for the SnSSe(Se) system. At the optimal working temperature, the Pd-SnSSe(S)/CO system exhibits a recovery time of 60.75 s, while the Pd-SnSSe(Se) system shows recovery times of 31.58 s for CO and 19.63 s for C<sub>2</sub>H<sub>4</sub>, respectively. Both materials demonstrate poor adsorption for CH<sub>4</sub>. This work provides theoretical insights into the development of low-power, high-sensitivity, and fast-response gas sensors for detection of transformer oil dissolved gases.

Authors

Institutions

Publication Details

Journal
Langmuir
Published
2025-08-15
DOI
https://doi.org/10.1021/acs.langmuir.5c03649
Citations
6
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
4.38

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gas-Sensing Mechanism of Transformer Oil Dissolved Gases (CO, C2H4, CH4) on the Pd-Modified Janus SnSSe Monolayer: A Density Functional Theory Study

Qu Zhou, Linze Li, Ziwen Huang, Jiaming Jiang et al.
6 citations
Langmuir
Gas Sensing Nanomaterials and Sensors
4.38
article

Gas-Sensing Mechanism of Transformer Oil Dissolved Gases (CO, C2H4, CH4) on the Pd-Modified Janus SnSSe Monolayer: A Density Functional Theory Study

Qu Zhou, Linze Li, Ziwen Huang, Jiaming Jiang, Wenwen Gu
article en
6 citations

Abstract

This study investigates the gas sensing properties of the Pd-modified Janus SnSSe monolayer for transformer oil dissolved gases (CO, C<sub>2</sub>H<sub>4</sub>, and CH<sub>4</sub>) using density functional theory (DFT). The results demonstrate that the incorporation of Pd metal atom onto the S and Se sites of the SnSSe monolayer significantly enhances their adsorption capabilities while maintaining structural stability. By analyzing key parameters such as adsorption energy, adsorption distance, charge density, density of states, orbital theory, recovery time, sensitivity, and work function, the adsorption behavior and sensing mechanisms of various gas systems are thoroughly examined. The analysis reveals that the intrinsic SnSSe monolayer is not suitable for detecting the three gases and exhibits a physical adsorption interaction. In contrast, the Pd-modified SnSSe(S)/SnSSe(Se) monolayer shows enhanced adsorption energies of -0.979, -0.740, and -0.099 eV for CO, C<sub>2</sub>H<sub>4</sub>, and CH<sub>4</sub>, respectively, with corresponding values of -1.120, -0.786, and -0.112 eV for the SnSSe(Se) system. At the optimal working temperature, the Pd-SnSSe(S)/CO system exhibits a recovery time of 60.75 s, while the Pd-SnSSe(Se) system shows recovery times of 31.58 s for CO and 19.63 s for C<sub>2</sub>H<sub>4</sub>, respectively. Both materials demonstrate poor adsorption for CH<sub>4</sub>. This work provides theoretical insights into the development of low-power, high-sensitivity, and fast-response gas sensors for detection of transformer oil dissolved gases.

LangmuirVol. 41(33)
Southwest University (CN), AAA College of Engineering and Technology
National Natural Science Foundation of China
Openalex Percentile: Top 5%
Gas Sensing Nanomaterials and Sensors
4.38
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.