The authentication and verification of the geographical origin of food commodities are important topics in the food sector. This study shows the spatial variability in d13C and d18O of 387 samples of Italian extravirgin olive oil (EVOO) collected from 2009 to 2011. EVOOs' d13C and d18O values were related to GIS (Geographic Information System) layers of source water d18O and climate data (mean monthly temperature and precipitation, altitude, xerothermic index) to evaluate the impact of the most significant largescale drivers for the isotopic composition of Italian EVOOs. A geospatial model of d18O and d13C was developed for the authentication and verification of the geographical origin of EVOOs. The geospatial model identified EVOOs from four distinct areas: north, south-central Tyrrhenian, central Adriatic and islands, highlighting the zonation of the expected isotopic signatures.

Carbon and oxygen isoscapes for geographical traceability of italian extra virgin olive oils

F Chiocchini;S Portarena;M Ciolfi;E Brugnoli;M Lauteri
2016

Abstract

The authentication and verification of the geographical origin of food commodities are important topics in the food sector. This study shows the spatial variability in d13C and d18O of 387 samples of Italian extravirgin olive oil (EVOO) collected from 2009 to 2011. EVOOs' d13C and d18O values were related to GIS (Geographic Information System) layers of source water d18O and climate data (mean monthly temperature and precipitation, altitude, xerothermic index) to evaluate the impact of the most significant largescale drivers for the isotopic composition of Italian EVOOs. A geospatial model of d18O and d13C was developed for the authentication and verification of the geographical origin of EVOOs. The geospatial model identified EVOOs from four distinct areas: north, south-central Tyrrhenian, central Adriatic and islands, highlighting the zonation of the expected isotopic signatures.
2016
Istituto di Biologia Agro-ambientale e Forestale - IBAF - Sede Porano
978-88-7843-046-4
Food traceability
IRMS
Geospatial modeling
Kriging
Climate data
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/308045
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