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Song Z, Tang W, Chen Z, Wan Z, Chan CLJ, Wang C, Ye W, Fan Z. Temperature-Modulated Selective Detection of Part-per-Trillion NO 2 Using Platinum Nanocluster Sensitized 3D Metal Oxide Nanotube Arrays. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2022; 18:e2203212. [PMID: 36058651 DOI: 10.1002/smll.202203212] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Revised: 07/28/2022] [Indexed: 06/15/2023]
Abstract
Semiconductor chemiresistive gas sensors play critical roles in a smart and sustainable city where a safe and healthy environment is the foundation. However, the poor limits of detection and selectivity are the two bottleneck issues limiting their broad applications. Herein, a unique sensor design with a 3D tin oxide (SnO2 ) nanotube array as the sensing layer and platinum (Pt) nanocluster decoration as the catalytic layer, is demonstrated. The Pt/SnO2 sensor significantly enhances the sensitivity and selectivity of NO2 detection by strengthening the adsorption energy and lowering the activation energy toward NO2 . It not only leads to ultrahigh sensitivity to NO2 with a record limit of detection of 107 parts per trillion, but also enables selective NO2 sensing while suppressing the responses to interfering gases. Furthermore, a wireless sensor system integrated with sensors, a microcontroller, and a Bluetooth unit is developed for the practical indoor and on-road NO2 detection applications. The rational design of the sensors and their successful demonstration pave the way for future real-time gas monitoring in smart home and smart city applications.
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Affiliation(s)
- Zhilong Song
- Department of Electronic and Computer Engineering, Energy Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
- The Hong Kong University of Science and Technology-Shenzhen Research Institute, Shenzhen, 518057, China
- Institute for Energy Research, Key Laboratory of Zhenjiang, Jiangsu University, Zhenjiang, Jiangsu, 212013, China
| | - Wenying Tang
- Department of Electronic and Computer Engineering, Energy Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
- The Hong Kong University of Science and Technology-Shenzhen Research Institute, Shenzhen, 518057, China
| | - Zhesi Chen
- Department of Electronic and Computer Engineering, Energy Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
- The Hong Kong University of Science and Technology-Shenzhen Research Institute, Shenzhen, 518057, China
| | - Zhu'an Wan
- Department of Electronic and Computer Engineering, Energy Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
- The Hong Kong University of Science and Technology-Shenzhen Research Institute, Shenzhen, 518057, China
| | - Chak Lam Jonathan Chan
- Department of Electronic and Computer Engineering, Energy Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
- The Hong Kong University of Science and Technology-Shenzhen Research Institute, Shenzhen, 518057, China
| | - Chen Wang
- Department of Electronic and Computer Engineering, Energy Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
- The Hong Kong University of Science and Technology-Shenzhen Research Institute, Shenzhen, 518057, China
| | - Wenhao Ye
- Department of Electronic and Computer Engineering, Energy Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
- The Hong Kong University of Science and Technology-Shenzhen Research Institute, Shenzhen, 518057, China
| | - Zhiyong Fan
- Department of Electronic and Computer Engineering, Energy Institute, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR, 999077, China
- The Hong Kong University of Science and Technology-Shenzhen Research Institute, Shenzhen, 518057, China
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Abstract
Metal oxide semiconductors have found widespread applications in chemical sensors based on electrical transduction principles, in particular for the detection of a large variety of gaseous analytes, including environmental pollutants and hazardous gases. This review recapitulates the progress in copper oxide nanomaterial-based devices, while discussing decisive factors influencing gas sensing properties and performance. Literature reports on the highly sensitive detection of several target molecules, including volatile organic compounds, hydrogen sulfide, carbon monoxide, carbon dioxide, hydrogen and nitrogen oxide from parts-per-million down to parts-per-billion concentrations are compared. Physico-chemical mechanisms for sensing and transduction are summarized and prospects for future developments are outlined.
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