Pattern Recognition for Typification of Whiskies and Brandies in the Volatile Components using Gas Chromatographic Data (기체 크로마토그래피 휘발성분 분석에서 위스키 및 브랜디 판별을 위한 패턴인식 연구)

Myoung, Sungmin (명성민); Oh,Chang-Hwan (오창환)

Pattern Recognition for Typification of Whiskies and Brandies in the Volatile Components using Gas Chromatographic Data

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2016, 21(5), pp.167-175
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science

Myoung, Sungmin ¹, Oh,Chang-Hwan ²

¹중원대학교
²세명대학교

Accredited

ABSTRACT

The volatile component analysis of 82 commercialized liquors(44 samples of single malt whisky, 20 samples of blended whisky and 18 samples of brandy) was carried out by gas chromatography after liquid-liquid extraction with dichloromethane. Pattern recognition techniques such as principle component analysis(PCA), cluster analysis(CA), linear discriminant analysis(LDA) and partial least square discriminant analysis(PLSDA) were applied for the discrimination of different liquor categories. Classification rules were validated by considering sensitivity and specificity of each class. Both techniques, LDA and PLSDA, gave 100% sensitivity and specificity for all of the categories. These results suggested that the common characteristics and identities as typification of whiskies and brandys was founded by using multivariate data analysis method.

KEYWORDS

Discrimination, gas chromatographic data, multivariate data analysis, pattern recognition

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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