Evaluation of the NO2 concentration prediction possibility based on static and dynamic responses of TGS sensors at changing humidity levels

The commercially available metal-oxide TGS sensors are widely used in many applications due to the fact that they are inexpensive and considered to be reliable. However, they are partially selective and their responses are influenced by various factors, e.g. temperature or humidity level. Therefore,...

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Bibliographic Details
Published in:Metrology and Measurement systems 2020-01, Vol.27 (1), p.167-179
Main Authors: Kalinowski, Paweł, Woźniak, Łukasz, Jasiński, Grzegorz, Jasiński, Piotr
Format: Article
Language:English
Subjects:
dynamic measurements
Humidity
Metal oxides
Nitrogen dioxide
partial least squares
Relative humidity
Sensors
tgs sensors
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Summary:The commercially available metal-oxide TGS sensors are widely used in many applications due to the fact that they are inexpensive and considered to be reliable. However, they are partially selective and their responses are influenced by various factors, e.g. temperature or humidity level. Therefore, it is important to design a proper analysis system of the sensor responses. In this paper, the results of examinations of eight commercial TGS sensors combined in an array and measured over a period of a few months for the purpose of prediction of nitrogen dioxide concentration are presented. The measurements were performed at different relative humidity levels. PLS regression was employed as a method of quantitative analysis of the obtained sensor responses. The results of NO2 concentration prediction based on static and dynamic responses of sensors are compared. It is demonstrated that it is possible to predict the nitrogen dioxide concentration despite the influence of humidity.
ISSN:2300-1941
2080-9050
2300-1941
DOI:10.24425/mms.2020.131716