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. This geospatial approach can be used to define a protocol for analyzing the isotopic composition of EVOOs in order to certify their origin and prevent food fraud. Limits and perspectives of the model are discussed.

Isoscapes of carbon and oxygen stable isotope compositions in tracing authenticity and geographical origin of Italian extra-virgin olive oils

Chiocchini F;Portarena S;Ciolfi M;Brugnoli E;Lauteri M
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. This geospatial approach can be used to define a protocol for analyzing the isotopic composition of EVOOs in order to certify their origin and prevent food fraud. Limits and perspectives of the model are discussed.
2016
Istituto di Biologia Agro-ambientale e Forestale - IBAF - Sede Porano
Istituto di Ricerca sugli Ecosistemi Terrestri - IRET
Climate data
Food traceability
Geospatial modeling
IRMS
Kriging
Plant × environment interactions
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/338619
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