Realizing the Ultrafast Recovery of the Monolayer MoS<sub>2</sub>-Based NH<sub>3</sub> Sensor by Gas-Ion-Gate

Over the past decade, the two-dimensional material MoS<sub>2</sub> has attracted great attention due to its room temperature stability, high surface area-to-volume ratios, abundance of active sites at the edges, and exceptional surface sensitivity to the environment, which are key characteristics for applications in chemical sensing. However, the slow recovery of ammonia (NH<sub>3</sub>) sensors based on MoS<sub>2</sub> materials at room temperature has restricted their further development. This paper presents a novel approach to address this limitation by demonstrating a monolayer MoS<sub>2</sub>-based NH<sub>3</sub> sensor with rapid recovery capabilities, leveraging O<sub>2</sub><sup>-</sup> generated through gas-ion-gate (GIG) technology. After being modulated by GIG, the recovery time of the monolayer MoS<sub>2</sub> device is about 2.04 s, representing a substantial improvement─approximately 157 times faster than that without GIG modulation. The rapid recovery speed is attributed to the chemical interactions between the O<sub>2</sub><sup>-</sup> ions generated by GIG and the surface-adsorbed NH<sub>3</sub><sup>+</sup>, which expedite the rapid desorption of NH<sub>3</sub><sup>+</sup>. Furthermore, the device retains periodic recovery properties, even after multiple modulation cycles, indicating that the material remains undamaged. This method successfully resolves the critical issue of slow recovery in monolayer MoS<sub>2</sub>-based NH<sub>3</sub> sensors at room temperature.

Authors

Institutions

Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-03-07
DOI
https://doi.org/10.1021/acsami.4c19870
Citations
7
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
5.11

Funders

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

Realizing the Ultrafast Recovery of the Monolayer MoS2-Based NH3 Sensor by Gas-Ion-Gate

Xinqin Wang, Gang Cheng, Lei Zhao, Yongqiang Ji et al.
7 citations
ACS Applied Materials & Interfaces
Gas Sensing Nanomaterials and Sensors
5.11
article

Realizing the Ultrafast Recovery of the Monolayer MoS2-Based NH3 Sensor by Gas-Ion-Gate

Xinqin Wang, Gang Cheng, Lei Zhao, Yongqiang Ji, Zhengrong Zhang, Junmeng Guo, Zuliang Du
article en
7 citations

Abstract

Over the past decade, the two-dimensional material MoS<sub>2</sub> has attracted great attention due to its room temperature stability, high surface area-to-volume ratios, abundance of active sites at the edges, and exceptional surface sensitivity to the environment, which are key characteristics for applications in chemical sensing. However, the slow recovery of ammonia (NH<sub>3</sub>) sensors based on MoS<sub>2</sub> materials at room temperature has restricted their further development. This paper presents a novel approach to address this limitation by demonstrating a monolayer MoS<sub>2</sub>-based NH<sub>3</sub> sensor with rapid recovery capabilities, leveraging O<sub>2</sub><sup>-</sup> generated through gas-ion-gate (GIG) technology. After being modulated by GIG, the recovery time of the monolayer MoS<sub>2</sub> device is about 2.04 s, representing a substantial improvement─approximately 157 times faster than that without GIG modulation. The rapid recovery speed is attributed to the chemical interactions between the O<sub>2</sub><sup>-</sup> ions generated by GIG and the surface-adsorbed NH<sub>3</sub><sup>+</sup>, which expedite the rapid desorption of NH<sub>3</sub><sup>+</sup>. Furthermore, the device retains periodic recovery properties, even after multiple modulation cycles, indicating that the material remains undamaged. This method successfully resolves the critical issue of slow recovery in monolayer MoS<sub>2</sub>-based NH<sub>3</sub> sensors at room temperature.

ACS Applied Materials & InterfacesVol. 17(11)
Henan University (CN), Henan Academy of Sciences (CN), City University (BD), Ministry of Education (IR)
National Natural Science Foundation of China, Natural Science Foundation of Gansu Province
Openalex Percentile: Top 5%
Gas Sensing Nanomaterials and Sensors
5.11
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.