LAPSE:2023.15703
Published Article
LAPSE:2023.15703
Simultaneous Detection of NH3 and NO2 by Modified Impedance Spectroscopy in Sensors Based on Carbon Nanotubes
Tomas Blecha, Vaclav Smitka, Michal Bodnar, Jiri Stulik
March 2, 2023
Abstract
There are many gaseous substances that need to be monitored for possible damage to health or the environment. This requires many sensors. The solution to reducing the number of sensors is to use one sensor to detect several gaseous substances simultaneously. Efforts to simplify sensor systems thus lead to the use of a sensor with a suitable sensitive layer and to finding a suitable method of detecting individual gaseous substances within one sensor. The aim is to find a suitable method to detect various gaseous substances acting on the sensor. For this purpose, modified impedance spectroscopy in the high-frequency range is applied, where the scattering parameters of the sensor based on carbon nanotubes are measured under the action of NO2 and NH3 gases. For this method of detection of gaseous substances, a suitable sensor platform structure was designed to enable the measurement of the electrical properties of the sensor in the GHz range. Based on the obtained results, it is possible to use one sensor to detect different types of gaseous substances.
Keywords
carbon nanotubes, gas detection, impedance spectroscopy, scattering parameters, sensor
Subject
Suggested Citation
Blecha T, Smitka V, Bodnar M, Stulik J. Simultaneous Detection of NH3 and NO2 by Modified Impedance Spectroscopy in Sensors Based on Carbon Nanotubes. (2023). LAPSE:2023.15703
Author Affiliations
Blecha T: Faculty of Electrical Engineering, University of West Bohemia, 301 00 Pilsen, Czech Republic [ORCID]
Smitka V: Faculty of Electrical Engineering, University of West Bohemia, 301 00 Pilsen, Czech Republic
Bodnar M: Sensors Department, Tesla Blatna a.s., 388 01 Blatna, Czech Republic
Stulik J: Faculty of Electrical Engineering, University of West Bohemia, 301 00 Pilsen, Czech Republic [ORCID]
Journal Name
Energies
Volume
15
Issue
3
First Page
855
Year
2022
Publication Date
2022-01-25
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15030855, Publication Type: Journal Article
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LAPSE:2023.15703
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https://doi.org/10.3390/en15030855
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