Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/28293

Title: Multivariate geostatistical analysis of stable isotopes in Portuguese varietal extra virgin olive oils
Authors: Jiménez-Morillo, Nicásio
Palma, Vera
Garcia, Raquel
Pereira, José Alberto
Barrocas Dias, Cristina
Cabrita, Maria João
Keywords: Extra virgin olive oil
Geographic origin
Multi linear regression
Stable isotopes
Statistical analysis
Issue Date: 2020
Publisher: Microchemical Journal - Elsevier
Abstract: Stable isotope contents of carbon, hydrogen and oxygen are known to reflect the geo-climatic conditions under which olives grown. This study aims to unravel the correlation between some of the main geographic variables and the isotopic composition of different Portuguese varietal extra virgin olive oil (EVOO) samples. Thus, the isotopic composition (δ13C, δ18O and δ2H) of 38 EVOO samples from 11 olive varieties from 2 Portuguese regions (Alentejo and Trás-os-Montes) was studied using an elemental analyzer coupled to an isotope ratio mass spectrometry. Multivariate analysis indicated that bulk δ13C, δ2H and δ18O values were enough to significantly (P < 0.05) predict altitude, latitude, longitude, temperature, rainfall, and sea distance. This work showed that the assessment of EVOO isotopic composition give information not only on the geographic origin, but also on the environmental conditions. To the best of our knowledge, this is the first report on bulk isotopic composition of Portuguese EVOOs.
URI: http://hdl.handle.net/10174/28293
Type: article
Appears in Collections:HERCULES - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
MED - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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