Application of electronic tongue to discriminate white wines originated from different regions of Hungary

Autor:	E. Várvölgyi, Zoltan Kovacs, L. D. Dénes, Ildikó Magyar, J. Soós, J. Felföldi
Rok vydání:	2014
Předmět:	Wine business.industry Electronic tongue food and beverages Pattern recognition Linear discriminant analysis Misclassification error Sensor array White Wine Pattern recognition (psychology) Principal component analysis Artificial intelligence Food science business Food Science Mathematics
Zdroj:	Acta Alimentaria. 43:132-139
ISSN:	1588-2535 0139-3006
DOI:	10.1556/aalim.43.2014.suppl.19
Popis:	In this work, the application of an electronic tongue (ET) based on a specific ion-selective sensor array for discrimination of different white wine types is presented. The electronic tongue equipped with specific sensor array containing seven IFSET sensors was used to analyze wine samples. The obtained ET responses were evaluated using different pattern recognition methods. Principal component analysis (PCA) provides the possibility to identify some initial patterns. Linear discriminant analysis (LDA) was used to build models to separate white wine samples based on wine regions and grape cultivars. The results showed that every group was distinguished from each other with no misclassification error. Furthermore, the sequence of the wine sample groups was similar to the increasing total acidity content. Partial least square (PLS) regression was used to build models for the prediction of the main chemical compositions of the wine samples based on the electronic tongue results. The closest correlation (R2=0...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3635d6f3e6d8bbc10ebbf0e0c377b6ec https://doi.org/10.1556/aalim.43.2014.suppl.19 Zobrazit plný text záznamu