Atomic Ru Species Driven SnO<sub>2</sub>-Based Sensor for Highly Sensitive and Selective Detection of H<sub>2</sub>S in the ppb-Level
Timely and accurate detection of H<sub>2</sub>S is crucial for preventing serious health issues in both humans and livestock upon exposure. However, metal-oxide-based H<sub>2</sub>S sensors often suffer from mediocre sensitivity, poor selectivity, or long response/recovery time. Here, an atomic Ru species-driven SnO<sub>2</sub>-based sensor is fabricated to realize highly sensitive and selective detection of H<sub>2</sub>S at the parts per billion level as low as 100 ppb. The sensor shows a high sensing response (<i>R</i><sub>air</sub>/<i>R</i><sub>gas</sub> = 310.1) and an ultrafast response time (less than 1 s) to 20 ppm H<sub>2</sub>S at an operating temperature of 160 °C. Operando SR-FTIR spectroscopic characterizations and DFT calculations prove that the superior sensing properties can be mainly attributed to the driven effect of atomic Ru species on the formation of surface-adsorbed oxygen species on the surface of SnO<sub>2</sub>, which provides more active sites and enhances the sensing performance of SnO<sub>2</sub> for H<sub>2</sub>S. Furthermore, a lab-made wireless portable H<sub>2</sub>S monitoring system is developed to rapidly detect the H<sub>2</sub>S for early warning, suggesting the potential application of the fabricated H<sub>2</sub>S sensor and monitoring system. This work provides a novel approach for fabricating a highly sensitive and selective gas sensor driven by atomic metal species loaded on metal-oxide semiconductors.
Authors
- Lichuan Gu (ORCID: https://orcid.org/0000-0002-8201-403X)
- Guolong Shi (ORCID: https://orcid.org/0000-0003-3231-9983)
- Chao Li (ORCID: https://orcid.org/0000-0003-1058-4153)
- Xiuli Zhang (ORCID: https://orcid.org/0000-0002-4898-6599)
- Ke Li (ORCID: https://orcid.org/0000-0002-1115-9194)
- Haonan Liu (ORCID: https://orcid.org/0000-0001-5823-4297)
- Haiyan Xu (ORCID: https://orcid.org/0000-0002-3570-5743)
- Ming‐Sheng Wang (ORCID: https://orcid.org/0000-0003-3754-2850)
- Mingjia Zheng
- Yuan Rao (ORCID: https://orcid.org/0000-0002-6770-6230)
- Xiangsu Dai
- Youde Cheng
Institutions
- Anhui Agricultural University (CN)
- Xiamen University (CN)
- Zhejiang Ocean University (CN)
- Ministry of Agriculture and Rural Affairs (CN)
Publication Details
- Journal
- ACS Sensors
- Published
- 2025-02-12
- DOI
- https://doi.org/10.1021/acssensors.4c02935
- Citations
- 20
- Primary Topic
- Gas Sensing Nanomaterials and Sensors
- Type
- article
- Field-Weighted Citation Impact
- 14.61
Funders
- National Natural Science Foundation of China
- Anhui Agricultural University
- Natural Science Foundation of Anhui Province