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John AT, Tricoli A. Flame assisted synthesis of nanostructures for device applications. ADVANCES IN PHYSICS: X 2022. [DOI: 10.1080/23746149.2021.1997153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
Affiliation(s)
- Alishba T John
- Nanotechnology Research Laboratory, Research School of Chemistry, College of Science, The Australian National University, Canberra, Australia
| | - Antonio Tricoli
- Nanotechnology Research Laboratory, Research School of Chemistry, College of Science, The Australian National University, Canberra, Australia
- Nanotechnology Research Laboratory, School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Camperdown, Australia
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Wu C, Zhang Y, Yang L, Xiao B, Jiao A, Li K, Chen T, Huang Z, Lin H. Flame Spray Pyrolysis Synthesis of WO 3 Sensing Materials: Effects of Flame Parameters on Particle Size Distribution and NO 2 Sensing Performance. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2022; 38:15506-15515. [PMID: 36480753 DOI: 10.1021/acs.langmuir.2c01945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
In this study, the flame spray pyrolysis (FSP) technique was employed to produce WO3 nanoparticles, which were subsequently used as sensing materials for NO2 sensors. To enhance the sensing performance, the effects of flame parameters on the particle properties and sensing performances for 150-1200 ppb NO2 at 125 °C were investigated. The results indicate that WO3 particles with an average crystal size of about 10-20 nm and a standard deviation of about 3-7.5 nm were generated by controlling the precursor and dispersion oxygen flow rate of FSP. Based on the evaluation of NO2 sensing performance, WO3 sensing materials synthesized under the 3/5 flame condition exhibited better sensitivity than sensors made under other flame conditions. In summary, the FSP method and the optimization of flame synthesis parameters could be an effective strategy to prepare the sensing materials with high sensing performance.
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Affiliation(s)
- Chunping Wu
- Key Laboratory for Power Machinery and Engineering of Ministry of Education, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai200240, China
| | - Yiran Zhang
- College of Smart Energy, Shanghai Jiao Tong University, Shanghai200240, China
- Shanghai Non-Carbon Energy Conversion and Utilization Institute, Shanghai Jiao Tong University, Shanghai200240, China
| | - Lin Yang
- Key Laboratory for Power Machinery and Engineering of Ministry of Education, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai200240, China
| | - Bang Xiao
- Key Laboratory for Power Machinery and Engineering of Ministry of Education, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai200240, China
| | - Anqi Jiao
- Key Laboratory for Power Machinery and Engineering of Ministry of Education, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai200240, China
| | - Ke Li
- Shanghai Marine Diesel Engine Research Institute, Shanghai200082, China
| | - Ting Chen
- Key Laboratory for Power Machinery and Engineering of Ministry of Education, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai200240, China
| | - Zhen Huang
- College of Smart Energy, Shanghai Jiao Tong University, Shanghai200240, China
- Key Laboratory for Power Machinery and Engineering of Ministry of Education, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai200240, China
| | - He Lin
- Key Laboratory for Power Machinery and Engineering of Ministry of Education, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai200240, China
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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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Tanyeli I, Darmadi I, Sech M, Tiburski C, Fritzsche J, Andersson O, Langhammer C. Nanoplasmonic NO 2 Sensor with a Sub-10 Parts per Billion Limit of Detection in Urban Air. ACS Sens 2022; 7:1008-1018. [PMID: 35357817 PMCID: PMC9040054 DOI: 10.1021/acssensors.1c02463] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
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Urban air pollution
is a critical health problem in cities all
around the world. Therefore, spatially highly resolved real-time monitoring
of airborne pollutants, in general, and of nitrogen dioxide, NO2, in particular, is of utmost importance. However, highly
accurate but fixed and bulky measurement stations or satellites are
used for this purpose to date. This defines a need for miniaturized
NO2 sensor solutions with detection limits in the low parts
per billion range to finally enable indicative air quality monitoring
at low cost that facilitates detection of highly local emission peaks
and enables the implementation of direct local actions like traffic
control, to immediately reduce local emissions. To address this challenge,
we present a nanoplasmonic NO2 sensor based on arrays of
Au nanoparticles coated with a thin layer of polycrystalline WO3, which displays a spectral redshift in the localized surface
plasmon resonance in response to NO2. Sensor performance
is characterized under (i) idealized laboratory conditions, (ii) conditions
simulating humid urban air, and (iii) an outdoor field test in a miniaturized
device benchmarked against a commercial NO2 sensor approved
according to European and American standards. The limit of detection
of the plasmonic solution is below 10 ppb in all conditions. The observed
plasmonic response is attributed to a combination of charge transfer
between the WO3 layer and the plasmonic Au nanoparticles,
WO3 layer volume expansion, and changes in WO3 permittivity. The obtained results highlight the viability of nanoplasmonic
gas sensors, in general, and their potential for practical application
in indicative urban air monitoring, in particular.
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Affiliation(s)
- Irem Tanyeli
- Department of Physics, Chalmers University of Technology, 412 96 Göteborg, Sweden
- Insplorion AB, Arvid Wallgrens Backe 20, 413 46 Göteborg, Sweden
| | - Iwan Darmadi
- Department of Physics, Chalmers University of Technology, 412 96 Göteborg, Sweden
| | - Martin Sech
- Insplorion AB, Arvid Wallgrens Backe 20, 413 46 Göteborg, Sweden
| | - Christopher Tiburski
- Department of Physics, Chalmers University of Technology, 412 96 Göteborg, Sweden
| | - Joachim Fritzsche
- Department of Physics, Chalmers University of Technology, 412 96 Göteborg, Sweden
| | - Olof Andersson
- Insplorion AB, Arvid Wallgrens Backe 20, 413 46 Göteborg, Sweden
| | - Christoph Langhammer
- Department of Physics, Chalmers University of Technology, 412 96 Göteborg, Sweden
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Sousanis A, Biskos G. Thin Film and Nanostructured Pd-Based Materials for Optical H 2 Sensors: A Review. NANOMATERIALS (BASEL, SWITZERLAND) 2021; 11:3100. [PMID: 34835864 PMCID: PMC8623850 DOI: 10.3390/nano11113100] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 10/15/2021] [Accepted: 10/16/2021] [Indexed: 01/17/2023]
Abstract
In this review paper, we provide an overview of state-of-the-art Pd-based materials for optical H2 sensors. The first part of the manuscript introduces the operating principles, providing background information on the thermodynamics and the primary mechanisms of optical detection. Optical H2 sensors using thin films (i.e., films without any nanostructuring) are discussed first, followed by those employing nanostructured materials based on aggregated or isolated nanoparticles (ANPs and INPs, respectively), as well as complex nanostructured (CN) architectures. The different material types are discussed on the basis of the properties they can attribute to the resulting sensors, including their limit of detection, sensitivity, and response time. Limitations induced by cracking and the hysteresis effect, which reduce the repeatability and reliability of the sensors, as well as by CO poisoning that deteriorates their performance in the long run, are also discussed together with an overview of manufacturing approaches (e.g., tailoring the composition and/or applying functionalizing coatings) for addressing these issues.
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Affiliation(s)
- Andreas Sousanis
- Climate and Atmosphere Research Centre, The Cyprus Institute, Nicosia 2121, Cyprus;
| | - George Biskos
- Climate and Atmosphere Research Centre, The Cyprus Institute, Nicosia 2121, Cyprus;
- Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628 CN Delft, The Netherlands
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