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Characterisation of Fragaria vesca fruit from Italy following a metabolomics approach through integrated mass spectrometry techniques

TitleCharacterisation of Fragaria vesca fruit from Italy following a metabolomics approach through integrated mass spectrometry techniques
Publication TypeArticolo su Rivista peer-reviewed
Year of Publication2016
AuthorsD'Urso, G., Maldini M., Pintore G., d'Aquino Luigi, Montoro P., and Pizza C.
JournalLWT - Food Science and Technology
Volume74
Pagination387-395
ISSN00236438
KeywordsBiomolecules, Chemical analysis, Flavonoids, Fruits, LC-ESI-QTrap-MS/MS, liquid chromatography, Mass Spectrometry, Metabolites, Orbitrap MS, Phenols, Polyphenols, Principal component analysis, Spectrometry, Targeted and untargeted analysis, Wild strawberries
Abstract

The phytochemical content of Fragaria vesca L. (wild strawberry) grown in Campania Region (South Italy) was investigated. Wild and cultivated fruit were collected from different geographic areas and from bothautochthonous and non-autochthonous germplasm. Extracts were submitted to untargeted liquid chromatography coupled to high resolution mass spectrometry (LC–ESI-Orbitrap–MS) for metabolite profiling. 39 different phenolic compounds have been detected and identified in the methanolic extract of spontaneous and cultivated strawberries from different origins. Targeted quantitative analyses of selected known metabolites were performed using UHPLC interfaced to Q-Trap mass spectrometer in Multiple Reaction Monitoring mode. Principal Component Analysis (PCA) was applied to both untargeted and targeted results. PCA was applied to the untargeted profiling data indicating that fruits from locations with different pedoclimatic conditions can be discerned. Results from quantitative analysis indicate that autochthonous strawberries display significantly higher levels of anthocyanins, especially cyanidin 3-O-glucoside, and other phenolic compounds, like gallic acid and procyanidin B1, compared to the one from non-autochthonous germplasm. The targeted and untargeted metabolite profiling approach used in this work is proposed for the assessment of geographical origin of the berries. © 2016 Elsevier Ltd

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URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84981289189&doi=10.1016%2fj.lwt.2016.07.061&partnerID=40&md5=b2c35524d67b929bd0937cba80191143
DOI10.1016/j.lwt.2016.07.061
Citation KeyD'Urso2016387