@ARTICLE{Kalinowski_Paweł_Evaluation_2020,
 author={Kalinowski, Paweł and Woźniak, Łukasz and Jasiński, Grzegorz and Jasiński, Piotr},
 volume={vol. 27},
 number={No 1},
 journal={Metrology and Measurement Systems},
 pages={167-179},
 howpublished={online},
 year={2020},
 publisher={Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation},
 abstract={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.},
 type={Article},
 title={Evaluation of the NO2 concentration prediction possibility based on static and dynamic responses of TGS sensors at changing humidity levels},
 URL={http://ochroma.man.poznan.pl/Content/115047/PDF/13_MMS_1_2020.pdf},
 doi={10.24425/mms.2020.131716},
 keywords={TGS sensors, partial least squares, nitrogen dioxide, dynamic measurements},
}