Highly precision carbon dioxide acoustic wave sensor with minimized humidity interference

Pang, Jintao, Le, Xianhao, Pang, Kai, Dong, Hanyong, Zhang, Qian, Xu, Zhen, Gao, Chao, Fu, Richard and Xie, Jin (2021) Highly precision carbon dioxide acoustic wave sensor with minimized humidity interference. Sensors and Actuators B: Chemical, 338. p. 129824. ISSN 0925-4005

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Official URL: https://doi.org/10.1016/j.snb.2021.129824

Abstract

Extensive applications of carbon dioxide (CO2) in various fields, such as food industry, agricultural production, medical and pharmacological industries, have caused a great demand for high-performance CO2 sensors. However, most existing CO2 sensors suffer from poor performance in a wet environment and often cannot work accurately in a high humidity condition. In this study, a quartz crystal resonator (QCR) coated with a uniform layer of reduced graphene oxide (RGO) is proposed to detect both the concentrations of CO2 and water molecules simultaneously, which can be used to significantly minimize the humidity interference. Unlike the other common gas sensors, the RGO-based CO2 QCR sensor can be operated in different humidity levels and the concentration of CO2 can be quantified precisely and effectively. Moreover, it has a fast response (~0.4 s), which is also suitable for respiration monitoring. Our results showed that before and after a volunteer did a low-intensity exercise, the sensor could detect the differences of concentrations of CO2 in the exhaled breath (i.e., 4.50% and 5.15%, respectively).

Item Type: Article
Additional Information: Funding information: This work is supported by the “National Natural Science Foundation of China (51875521)”, the “Zhejiang Provincial Natural Science Foundation of China (LZ19E050002)”, the “Science Fund for Creative Research Groups of National Natural Science Foundation of China (51821093)”, and the Engineering Physics and Science Research Council of UK (EPSRC EP/P018998/1). The author J. Pang acknowledges support from the program of China Scholarship Council (No. 202006320274) and 2020 Zhejiang University Academic Award for Outstanding Doctoral Candidates (No.202017).
Uncontrolled Keywords: carbon dioxide sensor, reduced graphene oxide film, humidity influence, human respiration monitoring
Subjects: F300 Physics
G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: John Coen
Date Deposited: 19 Mar 2021 09:03
Last Modified: 31 Jul 2021 16:34
URI: http://nrl.northumbria.ac.uk/id/eprint/45738

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