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An Optically Enhanced Nano-Sniffer Based on Au-SnO2 for Bionic Olfaction in Biomedical Robots

  • Yihui Wang
  • , Ting Yu
  • , Huijun Yin
  • , Shangyi Shen
  • , Zhenqi Yang
  • , Honglong Chang
  • , Haitao Zhao
  • Northwestern Polytechnical University Xian
  • National Institute of Metrology China
  • Guizhou Medical University

科研成果: 书/报告/会议事项章节会议稿件同行评审

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
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 202512 9月 2025

出版系列

姓名Lecture Notes in Computer Science
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
Xi'an
时期10/09/2512/09/25

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:

  1. 可持续发展目标 3 - 良好健康与福祉
    可持续发展目标 3 良好健康与福祉

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