摘要
Nitrogen dioxide (NO2), a significant atmospheric pollutant primarily emitted from combustion processes, poses substantial environmental and health risks, underscoring the critical need for accurate detection methods. Conventional metal oxide semiconductor sensors often suffer from limitations such as high operating temperatures and insufficient sensitivity. This study addresses these challenges by introducing a synergistic approach that combines noble metal modification with light excitation, enabling high-performance NO2 detection at room temperature. Au/SnO2 composites with hierarchical nanosheet architectures were synthesized via hydrothermal and impregnation methods, as confirmed by SEM. Their sensing properties were systematically investigated under light excitation. Among the samples tested, the 2.5 wt% Au/SnO2 sensor demonstrated superior performance, exhibiting a remarkable response, a low detection limit, and excellent selectivity, long-term stability, and humidity tolerance at room temperature. First-principles calculations reveal that the enhanced sensor performance originates from a synergistic effect between Au nanoparticle decoration, which enhances NO2 adsorption and charge transfer, and the additional photogenerated carriers induced by light excitation. This study provides novel material design insights for developing high efficiency room temperature NO2 sensors.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Social Robotics + BioMed - 17th International Conference on Social Robotics + BioMed, ICSR + BioMed 2025, Proceedings |
| 编辑 | Shuzhi Sam Ge, Weizheng Yuan, Honglong Chang, Yanen Wang, Hooman Samani, Hongsheng He |
| 出版商 | Springer Science and Business Media Deutschland GmbH |
| 页 | 35-42 |
| 页数 | 8 |
| ISBN(印刷版) | 9789819575374 |
| DOI | |
| 出版状态 | 已出版 - 2026 |
| 活动 | 17th International Conference on Social Robotics, ICSR + BioMed 2025 - Xi'an, 中国 期限: 10 9月 2025 → 12 9月 2025 |
出版系列
| 姓名 | Lecture Notes in Computer Science |
|---|---|
| 卷 | 16435 LNAI |
| ISSN(印刷版) | 0302-9743 |
| ISSN(电子版) | 1611-3349 |
会议
| 会议 | 17th International Conference on Social Robotics, ICSR + BioMed 2025 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Xi'an |
| 时期 | 10/09/25 → 12/09/25 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 3 良好健康与福祉
指纹
探究 'An Optically Enhanced Nano-Sniffer Based on Au-SnO2 for Bionic Olfaction in Biomedical Robots' 的科研主题。它们共同构成独一无二的指纹。引用此
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