Molecular Traceability Approach to Assess the Geographical Origin of Commercial Extra Virgin Olive Oil
Michele Antonio Savoia,
Isabella Mascio,
Monica Marilena Miazzi,
Claudio De Giovanni,
Fabio Grillo Spina,
Stefania Carpino,
Valentina Fanelli,
Cinzia Montemurro
Affiliations
Michele Antonio Savoia
Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy
Isabella Mascio
Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy
Monica Marilena Miazzi
Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy
Claudio De Giovanni
Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy
Fabio Grillo Spina
Department of the Central Inspectorate for the Protection of the Quality and Repression of Fraud of Food Products (ICQRF), Via Quintino Sella 42, 00187 Roma, Italy
Stefania Carpino
Central Inspectorate for Fraud Repression and Quality Protection of the Agrifood Products and Food (ICQRF), The Ministry of Agriculture, Food Sovereignty and Forests (MASAF), Via Quintino Sella 42, 00187 Roma, Italy
Valentina Fanelli
Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy
Cinzia Montemurro
Department of Soil, Plant and Food Sciences, University of Bari Aldo Moro, Via Amendola 165/A, 70126 Bari, Italy
Extra virgin olive oil (EVOO) is a precious and healthy ingredient of Mediterranean cuisine. Due to its high nutritional value, the interest of consumers in the composition of EVOO is constantly increasing, making it a product particularly exposed to fraud. Therefore, there is a need to properly valorize high-quality EVOO and protect it from fraudulent manipulations to safeguard consumer choices. In our study, we used a straightforward and easy method to assess the molecular traceability of 28 commercial EVOO samples based on the use of SSR molecular markers. A lack of correspondence between the declared origin of the samples and the actual origin of the detected varieties was observed, suggesting possible adulteration. This result was supported by the identification of private alleles based on a large collection of national and international olive varieties and the search for them in the molecular profile of the analyzed samples. We demonstrated that the proposed method is a rapid and straightforward approach for identifying the composition of an oil sample and verifying the correspondence between the origin of olives declared on the label and that of the actual detected varieties, allowing the detection of possible adulterations.