“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 high-resolution mass spectrometry analysis of grape extract in both positive and negative ionization mode, averaging 320-450 putative compounds are identified, depending on the variety. Most of the compounds identified are important grape metabolites: e.g., around 80 polyphenols were identified in Raboso Piave grape extract with an identification score 95-99%, including flavonols, anthocyanins, and stilbene derivatives. The profound knowledge of the grape chemistry provided by the method can be effectively applied for the study of grapevine diseases, effects of cultural practices and for monitoring of climate change effects. In the present study, suspect screening metabolomics was focalized on the characterization of flavonols of several important Italian grape varieties. The method was effective for the flavonol profiling of grape by providing the identification of around fifteen compounds. By performing statistical analysis (Principal Component Analysis and Cluster Analysis), the effect of the variety on the flavonol composition of grape was studied.

Bavaresco, L., De Rosso, M., Dalla Vedova, A., Panighel, A., Gardiman, M., Ostan, M., Flamini, R., Characterization of some Italian V. vinifera L. grape varieties on the basis of their flavonol profile, in 37th World Congress of Vine and Wine and 12th General Assembly of the OIV (Part 1), (Mendoza, 09-November 14-December 2014), EDP Sciences - Web of Conferences, Les Ulis 2014:<<BIO Web of Conferences>>, N/A-N/A. [10.1051/bioconf/20140301006] [http://hdl.handle.net/10807/61303]

Characterization of some Italian V. vinifera L. grape varieties on the basis of their flavonol profile

Bavaresco, Luigi;
2014

Abstract

“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 high-resolution mass spectrometry analysis of grape extract in both positive and negative ionization mode, averaging 320-450 putative compounds are identified, depending on the variety. Most of the compounds identified are important grape metabolites: e.g., around 80 polyphenols were identified in Raboso Piave grape extract with an identification score 95-99%, including flavonols, anthocyanins, and stilbene derivatives. The profound knowledge of the grape chemistry provided by the method can be effectively applied for the study of grapevine diseases, effects of cultural practices and for monitoring of climate change effects. In the present study, suspect screening metabolomics was focalized on the characterization of flavonols of several important Italian grape varieties. The method was effective for the flavonol profiling of grape by providing the identification of around fifteen compounds. By performing statistical analysis (Principal Component Analysis and Cluster Analysis), the effect of the variety on the flavonol composition of grape was studied.
2014
Inglese
37th World Congress of Vine and Wine and 12th General Assembly of the OIV (Part 1)
37th OIV World Congress
Mendoza
9-nov-2014
14-dic-2014
979-10-91799-33-1
EDP Sciences - Web of Conferences
Bavaresco, L., De Rosso, M., Dalla Vedova, A., Panighel, A., Gardiman, M., Ostan, M., Flamini, R., Characterization of some Italian V. vinifera L. grape varieties on the basis of their flavonol profile, in 37th World Congress of Vine and Wine and 12th General Assembly of the OIV (Part 1), (Mendoza, 09-November 14-December 2014), EDP Sciences - Web of Conferences, Les Ulis 2014:<<BIO Web of Conferences>>, N/A-N/A. [10.1051/bioconf/20140301006] [http://hdl.handle.net/10807/61303]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/61303
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