Photochemical Fabrication of Ag‐Modified Hierarchical Cu@Cu<sub>2</sub>O/CuO Nanocomposite Toward Room Temperature NO<sub>2</sub> Detection

Developing room temperature (RT) gas sensor based on metal oxide semiconductor material has long been challenging. Herein, a 1D hierarchical Ag‐modified Cu@Cu 2 O/CuO nanocomposite has been designed by low‐temperature etching self‐assembly combined with photochemical deposition method based on Cu nanowires (NWs). After a step of alkaline solution etching, the surface of Cu NWs is self‐assembled to form a hierarchical Cu@Cu 2 O/CuO, and then Ag nanoparticles are modified on its surface by photochemical deposition to obtain the desired material. All the preparation processes are carried out at RT and have good controllability. When applied as sensing material, the optimal Cu@Cu 2 O/CuO/Ag nanocomposite exhibits high response of ≈337.0 to 10 ppm NO 2 with excellent selectivity and fast response/recovery (60/400 s) at 25 °C. It is worth noting that such a strategy of loading Ag nanoparticles improves its gas sensitivity by about 42.4 times, and the resulting sensor shows good sensitivity and screening ability to NO 2 in the low concentration range. Finally, the nanostructure of the material is characterized systematically and the sensing mechanism is discussed.

Authors

Institutions

Publication Details

Journal
physica status solidi (RRL) - Rapid Research Letters
Published
2024-09-08
DOI
https://doi.org/10.1002/pssr.202400223
Citations
1
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.21

Funders

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

Photochemical Fabrication of Ag‐Modified Hierarchical Cu@Cu2O/CuO Nanocomposite Toward Room Temperature NO2 Detection

Jing Hu, Tao Wei, Bo Liu, Miao Cheng et al.
1 citations
physica status solidi (RRL) - Rapid Research Letters
Gas Sensing Nanomaterials and Sensors
0.21
article

Photochemical Fabrication of Ag‐Modified Hierarchical Cu@Cu2O/CuO Nanocomposite Toward Room Temperature NO2 Detection

Jing Hu, Tao Wei, Bo Liu, Miao Cheng, Qianqian Liu, Ruirui Wang, Xin Gu, Diancheng Zhu, Yun Ling, Wanfei Li, Shouxi Xu
article en
1 citations

Abstract

Developing room temperature (RT) gas sensor based on metal oxide semiconductor material has long been challenging. Herein, a 1D hierarchical Ag‐modified Cu@Cu 2 O/CuO nanocomposite has been designed by low‐temperature etching self‐assembly combined with photochemical deposition method based on Cu nanowires (NWs). After a step of alkaline solution etching, the surface of Cu NWs is self‐assembled to form a hierarchical Cu@Cu 2 O/CuO, and then Ag nanoparticles are modified on its surface by photochemical deposition to obtain the desired material. All the preparation processes are carried out at RT and have good controllability. When applied as sensing material, the optimal Cu@Cu 2 O/CuO/Ag nanocomposite exhibits high response of ≈337.0 to 10 ppm NO 2 with excellent selectivity and fast response/recovery (60/400 s) at 25 °C. It is worth noting that such a strategy of loading Ag nanoparticles improves its gas sensitivity by about 42.4 times, and the resulting sensor shows good sensitivity and screening ability to NO 2 in the low concentration range. Finally, the nanostructure of the material is characterized systematically and the sensing mechanism is discussed.

physica status solidi (RRL) - Rapid Research LettersVol. 19(2)
Suzhou University of Science and Technology (CN), State Key Laboratory of Transducer Technology (CN), Shanghai Institute of Microsystem and Information Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 49%
Gas Sensing Nanomaterials and Sensors
0.21
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.