Room-Temperature NO<sub>2</sub> Sensor Based on Oxygen Vacancy-Rich SnO Nanosheets

Nitrogen dioxide (NO2) is a hazardous air pollutant that poses significant threats to both human health and the environment. The development of NO2 sensors with high sensitivity, exceptional selectivity, and ultralow detection limits is of critical scientific and practical importance. However, conventional metal oxide-based NO2 sensors often suffer from inherent limitations, including high operating temperatures and relatively low sensitivity. Given that oxygen vacancies in metal oxides serve as active sites for NO2 adsorption and facilitate charge transfer at the gas–solid interface, this study demonstrates the room-temperature sensing capabilities of two-dimensional (2D) SnO nanosheets with a high concentration of oxygen vacancies, achieved without external excitation (e.g., light). Notably, the sensor exhibits n-type behavior, attributed to free electrons originating from oxygen vacancies. More importantly, the proposed sensor outperforms pure SnO and other metal oxide-based sensors, achieving a remarkably low detection limit of 10 ppb and a record-high response value of 136.43 toward 800 ppb of NO2. Furthermore, it demonstrates outstanding repeatability, exceptional selectivity, and long-term stability over two months. These findings highlight the feasibility of achieving ppb-level NO2 detection at room temperature through morphological control and defect engineering, paving the way for the development of ultrasensitive and high-performance NO2 sensors.

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Publication Details

Journal
ACS Applied Nano Materials
Published
2025-04-08
DOI
https://doi.org/10.1021/acsanm.5c01114
Citations
8
Primary Topic
Gas Sensing Nanomaterials and Sensors
Type
article
Field-Weighted Citation Impact
5.84

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article

Room-Temperature NO2 Sensor Based on Oxygen Vacancy-Rich SnO Nanosheets

Baoyue Zhang, Wen Zhang, Yin Cheng, Jian Zhen Ou et al.
8 citations
ACS Applied Nano Materials
Gas Sensing Nanomaterials and Sensors
5.84
article

Room-Temperature NO2 Sensor Based on Oxygen Vacancy-Rich SnO Nanosheets

Baoyue Zhang, Wen Zhang, Yin Cheng, Jian Zhen Ou, S. Wang, Xin Hu, Jing Hao Zhuang, Zhong Li, Min Zhang, Yajing Liu, Yi Liang, Jie Qi, Tao Tang, Azmira Jannat
article en
8 citations

Abstract

Nitrogen dioxide (NO2) is a hazardous air pollutant that poses significant threats to both human health and the environment. The development of NO2 sensors with high sensitivity, exceptional selectivity, and ultralow detection limits is of critical scientific and practical importance. However, conventional metal oxide-based NO2 sensors often suffer from inherent limitations, including high operating temperatures and relatively low sensitivity. Given that oxygen vacancies in metal oxides serve as active sites for NO2 adsorption and facilitate charge transfer at the gas–solid interface, this study demonstrates the room-temperature sensing capabilities of two-dimensional (2D) SnO nanosheets with a high concentration of oxygen vacancies, achieved without external excitation (e.g., light). Notably, the sensor exhibits n-type behavior, attributed to free electrons originating from oxygen vacancies. More importantly, the proposed sensor outperforms pure SnO and other metal oxide-based sensors, achieving a remarkably low detection limit of 10 ppb and a record-high response value of 136.43 toward 800 ppb of NO2. Furthermore, it demonstrates outstanding repeatability, exceptional selectivity, and long-term stability over two months. These findings highlight the feasibility of achieving ppb-level NO2 detection at room temperature through morphological control and defect engineering, paving the way for the development of ultrasensitive and high-performance NO2 sensors.

ACS Applied Nano MaterialsVol. 8(15)
Nanjing Institute of Technology (CN), MIT University (MK), Chengdu University (CN), Instituto de Estudos Avançados da Universidade de São Paulo, Southwest Jiaotong University (CN), RMIT University (AU)
National Natural Science Foundation of China, Sichuan Province Science and Technology Support Program, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 4%
Gas Sensing Nanomaterials and Sensors
5.84
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