MEMS Gas Sensor Based on ZnCu-Based Oxide Semiconductors for H<sub>2</sub>S Detection

In this work, a hydrogen sulfide (H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>S) MEMS sensor is designed by using the novel ZnCu-based oxide semiconductors derived from metal-organic frameworks. Different gas sensitization ways were established by heteroatom doping and heterogeneous interface construction. The results show the sensor based on CuO/ZnO semiconductors shows the unstable recovery behavior because of multiple interface formation after H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>S adsorption and reaction. However, the ZnCu-MOS-3 (Cu-doped ZnO) gas sensors demonstrate the great gas sensing performance for H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>S, featuring high response (16.19 for 20 ppm H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>S), fast response speed (33 s), and the ability to recover autonomously. In addition, a H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>S alarming platform is designed for preventing the human body from being poisoned. This work paves the way for the rational design of efficient gas sensors to monitor environmental H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>S concentrations.

Authors

Institutions

Publication Details

Journal
IEEE Electron Device Letters
Published
2025-08-04
DOI
https://doi.org/10.1109/led.2025.3595195
Citations
2
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MEMS Gas Sensor Based on ZnCu-Based Oxide Semiconductors for H2S Detection

Xiaoyi Xu, Tingting Zhou, Bing Yu, Shuang Cao et al.
2 citations
IEEE Electron Device Letters
Gas Sensing Nanomaterials and Sensors
1.46
article

MEMS Gas Sensor Based on ZnCu-Based Oxide Semiconductors for H2S Detection

Xiaoyi Xu, Tingting Zhou, Bing Yu, Shuang Cao, Tong Zhang, Zhao Song, Hongtao Jiang
article en
2 citations

Abstract

In this work, a hydrogen sulfide (H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>S) MEMS sensor is designed by using the novel ZnCu-based oxide semiconductors derived from metal-organic frameworks. Different gas sensitization ways were established by heteroatom doping and heterogeneous interface construction. The results show the sensor based on CuO/ZnO semiconductors shows the unstable recovery behavior because of multiple interface formation after H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>S adsorption and reaction. However, the ZnCu-MOS-3 (Cu-doped ZnO) gas sensors demonstrate the great gas sensing performance for H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>S, featuring high response (16.19 for 20 ppm H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>S), fast response speed (33 s), and the ability to recover autonomously. In addition, a H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>S alarming platform is designed for preventing the human body from being poisoned. This work paves the way for the rational design of efficient gas sensors to monitor environmental H<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub>S concentrations.

IEEE Electron Device LettersVol. 46(10)
Jilin University (CN), Zhengzhou University of Light Industry (CN), State Key Laboratory on Integrated Optoelectronics (CN)
Affordable and clean energy
Openalex Percentile: Top 16%
Gas Sensing Nanomaterials and Sensors
1.46
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.