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Partial least squares and principal components analysis of wine vintage by high performance liquid chromatography with chemiluminescence detection
journal contribution
posted on 2010-09-23, 00:00 authored by Sara Bellomarino, R Parker, Xavier ConlanXavier Conlan, Neil BarnettNeil Barnett, M AdamsHPLC with acidic potassium permanganate chemiluminescence detection was employed to analyse 17 Cabernet Sauvignon wines across a range of vintages (1971–2003). Partial least squares regression analysis and principal components analysis was used in order to investigate the relationship between wine composition and vintage. Tartaric acid, vanillic acid, catechin, sinapic acid, ethyl gallate, myricetin, procyanadin B and resveratrol were found to be important components in terms of differences between the vintages.
History
Journal
Analytica chimica actaVolume
678Issue
1Pagination
34 - 38Publisher
Elsevier B.V.Location
Amsterdam, The NetherlandsPublisher DOI
ISSN
0003-2670eISSN
1873-4324Language
engPublication classification
C1 Refereed article in a scholarly journal; C Journal articleCopyright notice
2010, Elsevier B.V.Usage metrics
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No categories selectedKeywords
high performance liquid chromatographychemiluminescencechemometricspartial least squares regressionprincipal components analysisScience & TechnologyPhysical SciencesChemistry, AnalyticalChemistryWineACIDIC POTASSIUM-PERMANGANATEVITIS-VINIFERA L.RED WINESCONJUGATED MYRICETINPARAMETERSREGRESSIONORIGINRESVERATROLQUERCETINBERRIES
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