Literature DB >> 22340114

Statistical analysis of wines using a robust compositional biplot.

K Hron1, M Jelínková, P Filzmoser, R Kreuziger, P Bednář, P Barták.   

Abstract

Eight phenolic acids (vanillic, gentisic, protocatechuic, syringic, gallic, coumaric, ferulic and caffeic) were quantitatively determined in 30 commercially available wines from South Moravia by gas chromatography-mass spectrometry. Raw (untransformed) and centered log-ratio transformed data were evaluated by classical and robust version of principal component analysis (PCA). A robust compositional biplot of the centered log-ratio transformed data gives the best resolution of particular categories of wines. Vanillic, syringic and gallic acids were identified as presumed markers occurring in relatively higher concentrations in red wines. Gentisic and caffeic acid were tentatively suggested as prospective technological markers, reflecting presumably some kinds of technological aspects of wine making. Copyright Â
© 2011 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22340114     DOI: 10.1016/j.talanta.2011.12.060

Source DB:  PubMed          Journal:  Talanta        ISSN: 0039-9140            Impact factor:   6.057


  1 in total

1.  Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis.

Authors:  Andrew D Fernandes; Jennifer Ns Reid; Jean M Macklaim; Thomas A McMurrough; David R Edgell; Gregory B Gloor
Journal:  Microbiome       Date:  2014-05-05       Impact factor: 14.650

  1 in total

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