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Zheng M, Cheng Y, Zhang X, Liu H, Xu H, Dai X, Shi G, Rao Y, Gu L, Wang MS, Li C, Li K. Atomic Ru Species Driven SnO 2-Based Sensor for Highly Sensitive and Selective Detection of H 2S in the ppb-Level. ACS Sens 2025; 10:1093-1104. [PMID: 39937667 DOI: 10.1021/acssensors.4c02935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/14/2025]
Abstract
Timely and accurate detection of H2S is crucial for preventing serious health issues in both humans and livestock upon exposure. However, metal-oxide-based H2S sensors often suffer from mediocre sensitivity, poor selectivity, or long response/recovery time. Here, an atomic Ru species-driven SnO2-based sensor is fabricated to realize highly sensitive and selective detection of H2S at the parts per billion level as low as 100 ppb. The sensor shows a high sensing response (Rair/Rgas = 310.1) and an ultrafast response time (less than 1 s) to 20 ppm H2S 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 SnO2, which provides more active sites and enhances the sensing performance of SnO2 for H2S. Furthermore, a lab-made wireless portable H2S monitoring system is developed to rapidly detect the H2S for early warning, suggesting the potential application of the fabricated H2S 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.
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Affiliation(s)
- Mingjia Zheng
- School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui 230036, China
| | - Youde Cheng
- School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui 230036, China
| | - Xiuli Zhang
- State Key Lab of Physical Chemistry of Solid Surfaces, College of Materials, Xiamen University, Xiamen 361005, China
| | - Haonan Liu
- School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui 230036, China
| | - Haiyan Xu
- School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui 230036, China
| | - Xiangsu Dai
- School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui 230036, China
| | - Guolong Shi
- School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui 230036, China
- Key Laboratory of Agricultural Sensors, Ministry of Agriculture and Rural Affairs, Anhui Province Key Laboratory of Smart Agricultural Technology and Equipment, Anhui Province Agricultural Information Perception and Intelligent Computing Engineering Research Center, Anhui Agricultural University, Hefei, Anhui 230036, China
| | - Yuan Rao
- School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui 230036, China
- Key Laboratory of Agricultural Sensors, Ministry of Agriculture and Rural Affairs, Anhui Province Key Laboratory of Smart Agricultural Technology and Equipment, Anhui Province Agricultural Information Perception and Intelligent Computing Engineering Research Center, Anhui Agricultural University, Hefei, Anhui 230036, China
| | - Lichuan Gu
- School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui 230036, China
- Key Laboratory of Agricultural Sensors, Ministry of Agriculture and Rural Affairs, Anhui Province Key Laboratory of Smart Agricultural Technology and Equipment, Anhui Province Agricultural Information Perception and Intelligent Computing Engineering Research Center, Anhui Agricultural University, Hefei, Anhui 230036, China
| | - Ming-Sheng Wang
- State Key Lab of Physical Chemistry of Solid Surfaces, College of Materials, Xiamen University, Xiamen 361005, China
| | - Chao Li
- National Engineering Research Center of Marine Facilities Aquaculture, Zhejiang Ocean University, Zhoushan, 316004, China
| | - Ke Li
- School of Information and Artificial Intelligence, Anhui Agricultural University, Hefei, Anhui 230036, China
- Key Laboratory of Agricultural Sensors, Ministry of Agriculture and Rural Affairs, Anhui Province Key Laboratory of Smart Agricultural Technology and Equipment, Anhui Province Agricultural Information Perception and Intelligent Computing Engineering Research Center, Anhui Agricultural University, Hefei, Anhui 230036, China
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Yan Z, Zhou X, Kong L, Xu W, Hao J, Sun S, Feng J, Zhi H, Zhu X, Hu L. Spindle-shaped Cu-Ru mesoporous nanospheres with enhanced enzyme-like activity for visual differentiation of toxic o-/m-aminophenol and recognition mechanisms. ENVIRONMENTAL RESEARCH 2023; 239:117407. [PMID: 37838200 DOI: 10.1016/j.envres.2023.117407] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 09/25/2023] [Accepted: 10/11/2023] [Indexed: 10/16/2023]
Abstract
To effectively differentiate toxic aminophenol isomers, a kind of spindle-shaped Cu-Ru bimetal mesoporous nanozyme (Cu-Ru MPNZ) with high specific surface was developed by one-pot homogeneous reduction method, directed by hexadecyl trimethyl ammonium bromide (CTAB) in this work. By virtue of the distinctive microstructure, Cu-Ru MPNZ expressed superior bi-functional oxidase- and peroxidase-mimic activity to catalyze the oxidation of 3,3',5,5,'-tetramethylbenzidine (TMB) and 2,2'-azinobis (3-ethylbenzothiazoline-6- sulfonic acid) ammonium salt (ABTS) with low Michaelis-Menten constants and quick reaction rates. Especially, toxic aminophenol isomers could exclusively react with the oxydates of TMB or ABTS to express differentiable signals in color. Under the optimal conditions, Cu-Ru MPNZ was successfully applied for visual differentiation of toxic aminophenol isomers in real aqueous, juices and medicinal samples with low detection limits (1.60 × 10-8 mol/L for o-aminophenol and 3.25 × 10-8 mol/L for m-aminophenol) and satisfactory recoveries (96.6-103.5%). The different recognition mechanisms of Cu-Ru MPNZ to toxic o- and m-aminophenol isomers were proposed for the first time as far as we known. This work will provide a potential way to monitor different organic isomer pollution in future.
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Affiliation(s)
- Zhengquan Yan
- Key Laboratory of Catalytic Conversion and Clean Energy in Universities of Shandong Province & Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu, 273165, People's Republic of China.
| | - Xuemei Zhou
- Key Laboratory of Catalytic Conversion and Clean Energy in Universities of Shandong Province & Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu, 273165, People's Republic of China
| | - Lingmin Kong
- Key Laboratory of Catalytic Conversion and Clean Energy in Universities of Shandong Province & Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu, 273165, People's Republic of China
| | - Wenjing Xu
- Key Laboratory of Catalytic Conversion and Clean Energy in Universities of Shandong Province & Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu, 273165, People's Republic of China
| | - Junkai Hao
- Key Laboratory of Catalytic Conversion and Clean Energy in Universities of Shandong Province & Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu, 273165, People's Republic of China
| | - Shuo Sun
- Key Laboratory of Catalytic Conversion and Clean Energy in Universities of Shandong Province & Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu, 273165, People's Republic of China
| | - Jing Feng
- Key Laboratory of Catalytic Conversion and Clean Energy in Universities of Shandong Province & Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu, 273165, People's Republic of China
| | - Huitian Zhi
- Key Laboratory of Catalytic Conversion and Clean Energy in Universities of Shandong Province & Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu, 273165, People's Republic of China
| | - Xiao Zhu
- Key Laboratory of Catalytic Conversion and Clean Energy in Universities of Shandong Province & Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu, 273165, People's Republic of China
| | - Lei Hu
- Key Laboratory of Catalytic Conversion and Clean Energy in Universities of Shandong Province & Key Laboratory of Life-Organic Analysis of Shandong Province, School of Chemistry and Chemical Engineering, Qufu Normal University, Qufu, 273165, People's Republic of China.
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