1H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognition
1H-NMR and isotopic fingerprinting of olive oil and its unsaponifiable fraction: Geographical origin of virgin olive oils by pattern recognition
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DOI:
10.1002/ejlt.201400243
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发表时间:
2015-12-01
影响因子:
2.7
通讯作者:
Heberger, Karoly
中科院分区:
文献类型:
--
作者:
Alonso-Salces, Rosa M.;Segebarth, Nicolas;Heberger, Karoly
H-1-NMR spectral data and H and C isotope abundances of virgin olive oils (VOOs) and their unsaponifiable fractions were analyzed by pattern recognition techniques, such as principal component analysis (PCA) and partial-least squares discriminant analysis (PLS-DA). The aim was to develop chemical tools for the authentication of VOOs according to their geographical origin or protected designation of origin(PDO), as well as to detect the mislabeling of the provenance of VOOs, at the regional or national level, or the mislabeling of non-PDO oils as PDO VOOs. The relationship between stable isotope abundances of the VOOs and their unsaponifiable fractions and the latitude of the VOO geographical origin was confirmed, but these criteria were not completely discriminant to differentiate VOOs according to their geographical origin. However, delta H-2 and/or delta C-13 data provided complementary geographical information to H-1-NMR data in the PLS-DA binary classification models afforded for VOOs from Greece, Spain, Italy, Izmir (Turkey), Crete (Greece), and the PDOs Riviera Ligure (Italy) and Huile d'olive d'Aix-en-Provence (France). H-2/H-1 and C-13/C-12 ratios of the unsaponifiable fractions of VOOs are reported here for the first time. The present approach for PDO Riviera Ligure VOOs, based on H-1-NMR data and C isotope abundance of the bulk oil and its unsaponifiable fraction, outperformed the previously reported classification models. Moreover, the PLS-DA models to authenticate VOOs from Greece and detect non-Greek VOOs achieved over 93% of correct predictions.