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Limited selectivity of amperometric gas sensors operating in multicomponent gas mixtures and methods of selectivity improvement

Abstract

In recent years, smog and poor air quality have became a growing environmental problem. There is a need to continuously monitor the quality of the air. The lack of selectivity is one of the most important problems limiting the use of gas sensors for this purpose. In this study, the selectivity of six amperometric gas sensors is investigated. First, the sensors were calibrated in order to find a correlation between the concentration level and sensor output. Afterwards, the responses of each sensor to single or multicomponent gas mixtures with concentrations from 50 ppb to 1 ppm were measured. The sensors were studied under controlled conditions, a constant gas flow rate of 100 mL/min and 50 % relative humidity. Single Gas Sensor Response Interpretation, Multiple Linear Regression, and Artificial Neural Network algorithms were used to predict the concentrations of SO2 and NO2. The main goal was to study different interactions between sensors and gases in multicomponent gas mixtures and show that it is insufficient to calibrate sensors in only a single gas.

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Category:
Articles
Type:
artykuły w czasopismach
Published in:
Bulletin of the Polish Academy of Sciences-Technical Sciences no. 68, pages 1275 - 1282,
ISSN: 0239-7528
Language:
English
Publication year:
2020
Bibliographic description:
Dmitrzak M., Jasiński P., Jasiński G.: Limited selectivity of amperometric gas sensors operating in multicomponent gas mixtures and methods of selectivity improvement// Bulletin of the Polish Academy of Sciences-Technical Sciences -Vol. 68,iss. 6 (2020), s.1275-1282
DOI:
Digital Object Identifier (open in new tab) 10.24425/bpasts.2020.134648
Verified by:
Gdańsk University of Technology

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