Determination of toxic gases based on the responses of a single electrocatalytic sensor and pattern recognition techniques
PBN-AR
Instytucja
Wydział Chemiczny (Politechnika Gdańska)
Informacje podstawowe
Główny język publikacji
ENG
Czasopismo
MEASUREMENT SCIENCE & TECHNOLOGY
ISSN
0957-0233
EISSN
Wydawca
DOI
URL
Rok publikacji
2014
Numer zeszytu
2
Strony od-do
1-7
Numer tomu
25
Identyfikator DOI
Liczba arkuszy
Słowa kluczowe
ELECTROCATALYTIC GAS SENSOR, CYCLIC VOLTAMMETRY, MULTIVARIATE DATA ANALYSIS, PATTERN RECOGNITION TECHNIQUES, PRINCIPAL COMPONENT ANALYSIS, LINEAR DISCRIMINANT ANALYSIS
Streszczenia
Język
Treść
A response from an electrocatalytic gas sensor contains fingerprint information about the type of gas and its concentration. As a result, a single gas sensor can be used for the determination of different gases. However, information about the type of gas and its concentration is hidden in the unique shape of the current–voltage response and it is quite difficult to explore. One of the ways to get precise information about the measured gas is to use multivariate data analysis and pattern recognition techniques. In this paper we present the results of an investigation based on a combination of the cyclic voltammetry measurement technique and chemometric analysis methods such as principal components analysis, linear discriminant analysis and the k-nearest neighbors algorithm classifier for distinguishing different types of toxic gases. The responses of the single electrocatalytic gas sensor to 20 ppm of ammonia, nitrogen dioxide, sulfur dioxide and various concentrations of hydrogen sulfide in balance with synthetic air have been measured and analyzed. The reduction of measurement points in the data set used for multivariate analysis was evaluated.
Inne
System-identifier
126433
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