High Performance Acoustic Wave Nitrogen Dioxide Sensor with Ultraviolet Activated 3D Porous Architecture of Ag-Decorated Reduced Graphene Oxide and Polypyrrole Aerogel

Xiong, Shuo, Zhou, Jian, Wu, Jianhui, Li, Honglang, Zhao, Wei, He, Chengguang, Liu, Yi, Chen, Yiqin, Fu, Richard and Duan, Huiguo (2021) High Performance Acoustic Wave Nitrogen Dioxide Sensor with Ultraviolet Activated 3D Porous Architecture of Ag-Decorated Reduced Graphene Oxide and Polypyrrole Aerogel. ACS Applied Materials & Interfaces, 13 (35). pp. 42094-42103. ISSN 1944-8244

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Official URL: https://doi.org/10.1021/acsami.1c13309

Abstract

Surface acoustic wave (SAW) devices have been widely explored for real-time monitoring of toxic and irritant chemical gases such as nitrogen oxide (NO2), but they often have issues such as a complicated process of the sensing layer, low sensitivity, long response time, irreversibility, and/or requirement of high temperatures to enhance sensitivity. Herein, we report a sensing material design for room-temperature NO2 detection based on a 3D porous architecture of Ag-decorated reduced graphene oxide-polypyrrole hybrid aerogels (rGO-PPy/Ag) and apply UV activation as an effective strategy to further enhance the NO2 sensing performance. The rGO-PPy/Ag-based SAW sensor with the UV activation exhibits high sensitivity (127.68 Hz/ppm), fast response/recovery time (36.7 s/58.5 s), excellent reproducibility and selectivity, and fast recoverability. Its enhancement mechanisms for highly sensitive and selective detection of NO2 are based on a 3D porous architecture, Ag-decorated rGO-PPy, p-p heterojunction in rGO-PPy/Ag, and UV photogenerated carriers generated in the sensing layer. The scientific findings of this work will provide the guidance for future exploration of next-generation acoustic-wave-based gas sensors.

Item Type: Article
Additional Information: Funding information: This work was supported by the General Program of National Natural Science Foundation of China (No. 52075162), the Key Research Project of Hunan Province (2019GK2111), the Innovation Leading Program of New and High-tech Industry of Hunan Province (2020GK2015), the Key Research Project of Guangdong Province (2020B0101040002), the GDAS Project of Science and Technology Development (Nos. 2018GDASCX-0112, 2019GDASYL-0503007), and the Natural Science Foundation of Changsha (kq2007026), as well as the Engineering Physics and Science Research Council of UK (EPSRC EP/P018998/1).
Uncontrolled Keywords: SAW, NO2 sensor, 3D porous architecture, rGO-PPy/Ag, UV
Subjects: F300 Physics
H600 Electronic and Electrical Engineering
H900 Others in Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Rachel Branson
Date Deposited: 18 Aug 2021 14:35
Last Modified: 30 Sep 2021 16:00
URI: http://nrl.northumbria.ac.uk/id/eprint/46939

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