Coffee aroma—Statistical analysis of compositional data

M. Korhoňová, K. Hron, D. Klimčíková, L. Müller, P. Bednář, P. Barták, M. Korhoňová, K. Hron, D. Klimčíková, L. Müller, P. Bednář, P. Barták

Index: Talanta 80(2) , 710-5, (2009)

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Abstract

Solid-phase microextraction in headspace mode coupled with gas chromatography–mass spectrometry was applied to the determination of volatile compounds in 30 commercially available coffee samples. In order to differentiate and characterize Arabica and Robusta coffee, six major volatile compounds (acetic acid, 2-methylpyrazine, furfural, 2-furfuryl alcohol, 2,6-dimethylpyrazine, 5-methylfurfural) were chosen as the most relevant markers. Cluster analysis and principal component analysis (PCA) were applied to the raw chromatographic data and data processed by centred logratio transformation.