1. Proton Nuclear Magnetic Resonance (1H NMR) Metabolic Profiles Discriminate Two Monovarietal Extra Virgin Olive Oils, Cultivars Arbequina and Koroneiki, with Different Geographical Origin
- Author
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Federica Angilè, Laura Del Coco, Chiara Roberta Girelli, Francesca Calò, Lucia Mazzi, Francesco Paolo Fanizzi, Gaetano Alessandro Vivaldi, and Salvatore Camposeo
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super high density planting systems ,1H NMR spectroscopy ,chemometric model ,fatty acids ,phenols ,Plant culture ,SB1-1110 - Abstract
This study aims to evaluate the Proton Nuclear Magnetic Resonance (1H-NMR)-based metabolomic profiles of monovarietal olive oils obtained from Arbequina and Koroneiki, which are typically present in the Mediterranean basin and grown in Spain and Greece, respectively. Micro-milled oils were obtained from olives harvested both in their cultivar home countries (Spain and Greece) and in Italy. Investigations by 1H NMR metabolic profiling were carried out to develop a strategy for the correct interpretation of differences based on geographical origins. The NMR Spectroscopy and multivariate statistical analysis (MVA) revealed significant differences in fatty acids profile as well as the unsaponifiable fraction, not only according to the cultivars but also to the specific geographical origin of the olives used. In particular, the oils from Spain were higher in polyunsaturated fatty acids (PUFAs) content than those from Italy. Conversely, the Italian oils of Koroneiki showed higher content of monounsaturated fatty acids (MUFAs) than Greek oils. Regarding the Extra Virgin Olive Oils (EVOOs) minor fraction, for both cultivars, the olive oils obtained using olives harvested in Italy were characterized by higher relative content of phenolic compounds. It was found that each of the investigated cultivars (Arbequina and Koroneiki), very popular in super high density (SHD) planting systems, assumed a specific well-characterized metabolic EVOO profile when the olives are harvested in Italy. These results may contribute to extending and enforcing available literature data on 1H NMR-based chemometric models as powerful tools for EVOOs geographical origin discrimination.
- Published
- 2023
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