BIO Web of Conferences
Volume 3, 201437th World Congress of Vine and Wine and 12th General Assembly of the OIV (Part 1)
|Number of page(s)||3|
|Published online||04 November 2014|
Characterization of some Italian V. vinifera L. grape varieties on the basis of their flavonol profile
1 Consiglio per la Ricerca e la Sperimentazione in Agricoltura – Centro di Ricerca per la Viticoltura (CRA-VIT), Viale XXVIII aprile 26, 31015 Conegliano (TV), Italia
2 Istituto di Frutti-Viticoltura, Università Cattolica S.C., via E. Parmense 84, 29122 Piacenza, Italia
a Corresponding author: firstname.lastname@example.org
“Suspect screening metabolomics” is a mid-way approach between “targeted” and “untargeted” analysis. For this aim, a new database of putative grape and wine metabolites (GrapeMetabolomics) was expressly constructed. Currently, this database contains around 1,100 compounds. By performing UHPLC/QTOF mass spectrometry analysis in both positive and negative ionization mode, in a grape extract averaging 320–450 putative compounds are identified. Most of these compounds are important grape metabolites, including flavonols, anthocyanins, and stilbene derivatives. In the present study, this approach was focalized on the characterization of flavonols of 18 important Italian red and white grape varieties and the method provided the identification of 15 flavonols. By performing statistical analysis (Principal Component Analysis and Cluster Analysis), the effect of the variety on the flavonol composition of the grapes was studied. Both the red and white samples fell into three different groups, respectively, on the basis of their flavonol profiles. Because the samples were cultivated in the same vineyard, their profile potentially was not affected by cultural or environmental factors. Anyway, these preliminary results will have to be confirmed by the study of grape samples collected in different years and from different vineyards.
© Owned by the authors, published by EDP Sciences, 2014
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.