Surface Acoustic Wave Sensor with Al–ZnO Sensitive Layer for Formaldehyde, Ammonia, and Sulfur Dioxide Gases Detection

Hazardous gases represent a significant threat to both the ecological environment and human health. Therefore, achieving rapid and precise detection of these harmful gases is of paramount importance for the environmental health and the safety of human life. Here, surface acoustic wave (SAW) sensing technology for formaldehyde (CH2O), ammonia (NH3), and sulfur dioxide (SO2) gases was studied. A dual-channel mixed-signal SAW sensing system was proposed for the detection of target gases. The experimental results indicate that the sensitivity of the SAW sensor coated with an Al-doped zinc oxide (Al–ZnO) nanosheet layer is 2817, 3592, and 3927 Hz/ppm, respectively, which is approximately double that observed in the undoped ZnO sensitive layer. The SAW sensor coated with an Al–ZnO sensitive layer exhibits the greatest sensitivity to SO2 gas. Combined with density functional theory (DFT) analysis of adsorption energy and electron transfer, the results demonstrate that the Al–ZnO sensitive film exhibits a stronger adsorption capacity for SO2 gas molecules, which is basically consistent with the experimental conclusion. This work can provide a reliable theoretical foundation and technical support for the application of SAW sensors in industrial safety and environmental monitoring.

Authors

Institutions

Publication Details

Journal
ACS Applied Electronic Materials
Published
2025-10-22
DOI
https://doi.org/10.1021/acsaelm.5c01824
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Surface Acoustic Wave Sensor with Al–ZnO Sensitive Layer for Formaldehyde, Ammonia, and Sulfur Dioxide Gases Detection

Zhangliang Xu, Lingyu Feng, Rui Bo Yuan, Lin Tang et al.
ACS Applied Electronic Materials
Gas Sensing Nanomaterials and Sensors
article

Surface Acoustic Wave Sensor with Al–ZnO Sensitive Layer for Formaldehyde, Ammonia, and Sulfur Dioxide Gases Detection

Zhangliang Xu, Lingyu Feng, Rui Bo Yuan, Lin Tang, Hao Fu
article en

Abstract

Hazardous gases represent a significant threat to both the ecological environment and human health. Therefore, achieving rapid and precise detection of these harmful gases is of paramount importance for the environmental health and the safety of human life. Here, surface acoustic wave (SAW) sensing technology for formaldehyde (CH2O), ammonia (NH3), and sulfur dioxide (SO2) gases was studied. A dual-channel mixed-signal SAW sensing system was proposed for the detection of target gases. The experimental results indicate that the sensitivity of the SAW sensor coated with an Al-doped zinc oxide (Al–ZnO) nanosheet layer is 2817, 3592, and 3927 Hz/ppm, respectively, which is approximately double that observed in the undoped ZnO sensitive layer. The SAW sensor coated with an Al–ZnO sensitive layer exhibits the greatest sensitivity to SO2 gas. Combined with density functional theory (DFT) analysis of adsorption energy and electron transfer, the results demonstrate that the Al–ZnO sensitive film exhibits a stronger adsorption capacity for SO2 gas molecules, which is basically consistent with the experimental conclusion. This work can provide a reliable theoretical foundation and technical support for the application of SAW sensors in industrial safety and environmental monitoring.

ACS Applied Electronic MaterialsVol. 7(21)
China West Normal University (CN)
Openalex Percentile: Top 70%
Gas Sensing Nanomaterials and Sensors
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.