4.7 Article

Highly precision carbon dioxide acoustic wave sensor with minimized humidity interference

期刊

SENSORS AND ACTUATORS B-CHEMICAL
卷 338, 期 -, 页码 -

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.snb.2021.129824

关键词

Carbon dioxide sensor; Reduced graphene oxide film; Humidity influence; Human respiration monitoring

资金

  1. National Natural Science Foundation of China [51875521]
  2. Zhejiang Provincial Natural Science Foundation of China [LZ19E050002]
  3. Science Fund for Creative Research Groups of National Natural Science Foundation of China [51821093]
  4. Engineering Physics and Science Research Council of UK (EPSRC) [EP/P018998/1]
  5. program of China Scholarship Council [202006320274]
  6. 2020 Zhejiang University Academic Award for Outstanding Doctoral Candidates [202017]

向作者/读者索取更多资源

This study proposes a QCR sensor coated with RGO for detecting the concentrations of CO2 and water molecules, allowing for accurate measurement of CO2 concentration at different humidity levels with fast response time, suitable for respiration monitoring. The sensor successfully detected differences in CO2 concentrations in exhaled breath before and after low-intensity exercise.
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 (similar to 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).

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