The aim of this study was to investigate if the declared benefits associated with superfoods are related to a specific molecular composition. For this purpose, untargeted metabolomics and molecular networking were used to obtain an overview of all features, focusing on compounds with anti-inflammatory, antioxidant or antimicrobial properties. 565 plant-based food samples were analyzed using UHPLC-HRMS and advanced data analysis tools. The molecular networking of the whole dataset allowed identification of a greater diversity of molecules, in particular, prenol lipids, isoflavonoids and isoquinolines in superfoods, when compared with non-superfood species belonging to the same botanical family. Furthermore, in silico tools were used to expand our chemical knowledge of compounds observed in superfood samples.

A UHPLC-HRMS based metabolomics and chemoinformatics approach to chemically distinguish ‘super foods’ from a variety of plant-based foods / Di Ottavio, F.; Gauglitz, J. M.; Ernst, M.; Panitchpakdi, M. W.; Fanti, F.; Compagnone, D.; Dorrestein, P. C.; Sergi, M.. - In: FOOD CHEMISTRY. - ISSN 0308-8146. - 313:(2020), pp. 1-10. [10.1016/j.foodchem.2019.126071]

A UHPLC-HRMS based metabolomics and chemoinformatics approach to chemically distinguish ‘super foods’ from a variety of plant-based foods

Di Ottavio F.;Compagnone D.;Sergi M.
2020

Abstract

The aim of this study was to investigate if the declared benefits associated with superfoods are related to a specific molecular composition. For this purpose, untargeted metabolomics and molecular networking were used to obtain an overview of all features, focusing on compounds with anti-inflammatory, antioxidant or antimicrobial properties. 565 plant-based food samples were analyzed using UHPLC-HRMS and advanced data analysis tools. The molecular networking of the whole dataset allowed identification of a greater diversity of molecules, in particular, prenol lipids, isoflavonoids and isoquinolines in superfoods, when compared with non-superfood species belonging to the same botanical family. Furthermore, in silico tools were used to expand our chemical knowledge of compounds observed in superfood samples.
2020
food; LC–MS/MS; metabolomics; superfood; untargeted MS
01 Pubblicazione su rivista::01a Articolo in rivista
A UHPLC-HRMS based metabolomics and chemoinformatics approach to chemically distinguish ‘super foods’ from a variety of plant-based foods / Di Ottavio, F.; Gauglitz, J. M.; Ernst, M.; Panitchpakdi, M. W.; Fanti, F.; Compagnone, D.; Dorrestein, P. C.; Sergi, M.. - In: FOOD CHEMISTRY. - ISSN 0308-8146. - 313:(2020), pp. 1-10. [10.1016/j.foodchem.2019.126071]
File allegati a questo prodotto
File Dimensione Formato  
DiOttavio_A-UHPLC-HRMS_2020.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 3.34 MB
Formato Adobe PDF
3.34 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1653257
Citazioni
  • ???jsp.display-item.citation.pmc??? 3
  • Scopus 16
  • ???jsp.display-item.citation.isi??? 18
social impact