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Characterization of italian olive oils based on analytical and nuclear magnetic resonance determinations
Author(s) -
Sacco Antonio,
Brescia Maria Antonietta,
Liuzzi Vitantonio,
Reniero Fabiano,
Guillou Glaude,
Ghelli Stefano,
Meer Pieter
Publication year - 2000
Publication title -
journal of the american oil chemists' society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.512
H-Index - 117
eISSN - 1558-9331
pISSN - 0003-021X
DOI - 10.1007/s11746-000-0100-y
Subject(s) - principal component analysis , olive oil , linear discriminant analysis , data set , characterization (materials science) , cluster analysis , hierarchical clustering , proton nmr , chemistry , analytical chemistry (journal) , nuclear magnetic resonance , chromatography , mathematics , statistics , materials science , physics , food science , organic chemistry , nanotechnology
Analytical measurements and proton nuclear magnetic resonance ( 1 H NMR) spectra of phenolic extracts were performed on a set of italian extra‐virgin olive oils from different cultivars and geographical locations of Apulia region. Multivariate statistical analysis (principal component analysis, hierarchical clustering analysis, and discriminant analysis) was applied separately to analytical and NMR data. Analytical parameters, in particular fatty acid compositions, permit the discrimination of olive variety, while 1 H NMR data of phenolic extracts permit a classification according to the geographical origin of the samples.