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Gdańsk University of Technology

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EVALUATION OF THE NO2CONCENTRATION PREDICTION POSSIBILITYBASED ON STATIC AND DYNAMIC RESPONSES OF TGS SENSORSAT CHANGING HUMIDITY LEVELS

The commercially available metal-oxide TGS sensors are widely used in many applications due to thefact that they are inexpensive and considered to be reliable. However, they are partially selective and theirresponses are influenced by various factors,e.g. temperature or humidity level. Therefore, it is importanttodesign a proper analysis system of the sensor responses. In this paper, the results of examinations of eightcommercial TGS sensors combined in an array and measured over a period of a few months for the purposeof prediction of nitrogen dioxide concentration are presented. The measurements were performed at differentrelative humidity levels. PLS regression was employed as a method of quantitative analysis of the obtainedsensor responses. The results of NO2concentration prediction based on static and dynamic responses ofsensors are compared. It is demonstrated that it is possibleto predict the nitrogen dioxide concentrationdespite the influence of humidity

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