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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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationSocial Robotics + BioMed - 17th International Conference on Social Robotics + BioMed, ICSR + BioMed 2025, Proceedings
EditorsShuzhi Sam Ge, Weizheng Yuan, Honglong Chang, Yanen Wang, Hooman Samani, Hongsheng He
PublisherSpringer Science and Business Media Deutschland GmbH
Pages35-42
Number of pages8
ISBN (Print)9789819575374
DOIs
StatePublished - 2026
Event17th International Conference on Social Robotics, ICSR + BioMed 2025 - Xi'an, China
Duration: 10 Sep 202512 Sep 2025

Publication series

NameLecture Notes in Computer Science
Volume16435 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Social Robotics, ICSR + BioMed 2025
Country/TerritoryChina
CityXi'an
Period10/09/2512/09/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Au/SnO
  • First-principles calculations
  • Light excitation
  • NO gas sensor
  • Room temperature

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