Oxygen Vacancies Modulation of Ammonium Tungsten Bronze by NH <sub>4</sub> <sup>+</sup> ‐Assisted Heat Treatment for Highly Sensitive Detection of NO <sub>2</sub>

ABSTRACT Introducing oxygen vacancies has emerged as an essential strategy to affect the sensing properties of nanomaterials. However, existing methods for manipulating oxygen require high cost, complex operation, and harsh conditions. Herein, a simple NH 4 + ‐assisted heat treatment approach was designed to regulate the concentration of oxygen vacancies of ammonium tungsten bronze ((NH 4 ) 0.25 WO 3 , named as NWO). The resultant NWO‐300 sensor exhibited an extremely high response of 118 to 1 ppm NO 2 at 40°C. It achieved a detection limit as low as 10 ppb. Such outstanding sensing properties of NWO‐300 were ascribed to the modulated electronic structure and increased active sites caused by oxygen vacancies. The formation of a large number of oxygen vacancies in NWO‐300 is due to the H and N atoms in NH 3 can extract O atoms on the surface of materials, which was confirmed by X‐ray photoelectron spectroscopy (XPS) and thermogravimetric‐mass spectrometry (TG‐MS) techniques. Moreover, the excellent NO 2 detection ability of the NWO‐300 sensor enables the detection of air quality under different floors, and its development can be utilized in the field of environmental monitoring applications.

Authors

Institutions

Publication Details

Journal
Rare Metals
Published
2025-12-24
DOI
https://doi.org/10.1002/rar2.70011
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Oxygen Vacancies Modulation of Ammonium Tungsten Bronze by NH 4 + ‐Assisted Heat Treatment for Highly Sensitive Detection of NO 2

Ting-Ting Wang, Chaobo Huang, Y. Z. Zhang, Li-Hua Huo et al.
Rare Metals
Gas Sensing Nanomaterials and Sensors
article

Oxygen Vacancies Modulation of Ammonium Tungsten Bronze by NH 4 + ‐Assisted Heat Treatment for Highly Sensitive Detection of NO 2

Ting-Ting Wang, Chaobo Huang, Y. Z. Zhang, Li-Hua Huo, X. W. Zhang, Yingming Xu, Qiuyue Zheng, Zoltán Major, Peng‐Jin Ye, Jing Tang, Xiao‐Li Cheng
article en

Abstract

ABSTRACT Introducing oxygen vacancies has emerged as an essential strategy to affect the sensing properties of nanomaterials. However, existing methods for manipulating oxygen require high cost, complex operation, and harsh conditions. Herein, a simple NH 4 + ‐assisted heat treatment approach was designed to regulate the concentration of oxygen vacancies of ammonium tungsten bronze ((NH 4 ) 0.25 WO 3 , named as NWO). The resultant NWO‐300 sensor exhibited an extremely high response of 118 to 1 ppm NO 2 at 40°C. It achieved a detection limit as low as 10 ppb. Such outstanding sensing properties of NWO‐300 were ascribed to the modulated electronic structure and increased active sites caused by oxygen vacancies. The formation of a large number of oxygen vacancies in NWO‐300 is due to the H and N atoms in NH 3 can extract O atoms on the surface of materials, which was confirmed by X‐ray photoelectron spectroscopy (XPS) and thermogravimetric‐mass spectrometry (TG‐MS) techniques. Moreover, the excellent NO 2 detection ability of the NWO‐300 sensor enables the detection of air quality under different floors, and its development can be utilized in the field of environmental monitoring applications.

Rare MetalsVol. 45(1)
Johannes Kepler University of Linz (AT), Nanjing Forestry University (CN), Institute of New Materials (CN), Heilongjiang University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Life in Land
Openalex Percentile: Top 38%
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.