http://www.cnr.it/ontology/cnr/individuo/prodotto/ID188567
Identification of metabolic content of selected Amarone wine (Articolo in rivista)
- Type
- Label
- Identification of metabolic content of selected Amarone wine (Articolo in rivista) (literal)
- Anno
- 2011-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.foodchem.2011.05.008 (literal)
- Alternative label
Consonni, Roberto; Cagliani, Laura Ruth; Guantieri, Valeria; Simonato, Barbara (2011)
Identification of metabolic content of selected Amarone wine
in Food chemistry
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Consonni, Roberto; Cagliani, Laura Ruth; Guantieri, Valeria; Simonato, Barbara (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://ac.els-cdn.com/S0308814611006972/1-s2.0-S0308814611006972-main.pdf?_tid=8889976e-143b-11e2-803c-00000aab0f6b&acdnat=1350025850_1fa04a6a16c80e689c456593eb502d3c (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
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- ISI Web of Science (WOS) (literal)
- Scopu (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Consonni, Roberto; Cagliani, Laura Ruth, CNR, Istituto per lo Studio delle Macromolecole, Lab NMR, I-20133 Milan, Italy
Guantieri, Valeria; Simonato, Barbara, Univ Verona, Dipartimento Biotecnol, I-37134 Verona, Italy (literal)
- Titolo
- Identification of metabolic content of selected Amarone wine (literal)
- Abstract
- The metabolic characterisation of food and beverages nowadays has been largely employed in combination with multivariate data analysis. In this work, the valuable Amarone \"Passito\" dry red wine produced in Verona area (Italy) was investigated in order to find a possible correlation between metabolic content and vintage/ageing process. A total number of 46 wine samples from 11 different winemakers, three different vintages and ageing process were investigated without sample preparation. (1)H NMR spectra were analysed in combination with principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA) protocols to investigate vintage and ageing effects on samples differentiation based on the metabolic content. The results indicated amino acids, sugars, and aromatic compounds the most relevant discriminant variables for Amarone wine samples. (literal)
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