Bimetallic Au–Ag-Modified ZnO-Based MEMS Sensors for ppb-Level Ethanol Detection

Low power consumption and effective ppb-level ethanol sensor are widely used in environmental protection, life sciences, transportation field, and so on. In this work, an impregnation–calcination–photoreduction method was developed to fabricate bimetallic Au–Ag-modified ZnO-based microelectromechanical systems (MEMS). The photoreduction process could simultaneously create abundant reactive oxygen species in ZnO while reducing the noble metal nanoparticles. Gas-sensing performance tests revealed that ZnO loaded with Ag and Au nanoparticles (Irr-0.5Au–0.5Ag/ZnO) exhibited superior gas-sensing capabilities, with a response value of 31.5–20-ppm ethanol at 235 °C. This performance was 15.5 times that of ZnO and 2.7 times that of the monometallic Au-modified material Irr-0.5Au/ZnO. Especially, the lower detection limit for ethanol gas was as low as 9 ppb, indicating its potential for high-sensitivity detection of trace ethanol gas. The lower operating temperature, combined with MEMS technology, significantly reduces the sensor’s power consumption. Irr-0.5Au–0.5Ag/ZnO also demonstrated good linearity for different concentrations of ethanol gas and maintained long-term stability for up to 15 days. The improved sensing performance is mainly attributed to the chemosensitization and electrosensitization effects of the bimetallic Au–Ag and the increased generation of reactive oxygen species.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Journal
Published
2024-11-28
DOI
https://doi.org/10.1109/jsen.2024.3502722
Citations
3
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.63

Funders

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

Bimetallic Au–Ag-Modified ZnO-Based MEMS Sensors for ppb-Level Ethanol Detection

Rongrong Jia, Yuanyuan Ge, Lei Huang, Xiaodong Liu et al.
3 citations
IEEE Sensors Journal
Gas Sensing Nanomaterials and Sensors
0.63
article

Bimetallic Au–Ag-Modified ZnO-Based MEMS Sensors for ppb-Level Ethanol Detection

Rongrong Jia, Yuanyuan Ge, Lei Huang, Xiaodong Liu, Jiaxuan Yang, Zhili Li, Meihua Liang, Yong Yan
article en
3 citations

Abstract

Low power consumption and effective ppb-level ethanol sensor are widely used in environmental protection, life sciences, transportation field, and so on. In this work, an impregnation–calcination–photoreduction method was developed to fabricate bimetallic Au–Ag-modified ZnO-based microelectromechanical systems (MEMS). The photoreduction process could simultaneously create abundant reactive oxygen species in ZnO while reducing the noble metal nanoparticles. Gas-sensing performance tests revealed that ZnO loaded with Ag and Au nanoparticles (Irr-0.5Au–0.5Ag/ZnO) exhibited superior gas-sensing capabilities, with a response value of 31.5–20-ppm ethanol at 235 °C. This performance was 15.5 times that of ZnO and 2.7 times that of the monometallic Au-modified material Irr-0.5Au/ZnO. Especially, the lower detection limit for ethanol gas was as low as 9 ppb, indicating its potential for high-sensitivity detection of trace ethanol gas. The lower operating temperature, combined with MEMS technology, significantly reduces the sensor’s power consumption. Irr-0.5Au–0.5Ag/ZnO also demonstrated good linearity for different concentrations of ethanol gas and maintained long-term stability for up to 15 days. The improved sensing performance is mainly attributed to the chemosensitization and electrosensitization effects of the bimetallic Au–Ag and the increased generation of reactive oxygen species.

IEEE Sensors JournalVol. 25(2)
Shanghai University (CN), University of Shanghai for Science and Technology (CN), Guangxi University (CN)
Science and Technology Innovation Plan Of Shanghai Science and Technology Commission
Affordable and clean energy
Openalex Percentile: Top 30%
Gas Sensing Nanomaterials and Sensors
0.63
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.