| Literature DB >> 24837928 |
Sandra Angelica De Pascali1, Antonio Coletta2, Laura Del Coco3, Teodora Basile4, Giuseppe Gambacorta5, Francesco Paolo Fanizzi6.
Abstract
Metabolic profiles of 32 Negroamaro red wines were analysed using (1)H NMR spectroscopy and multivariate statistical analyses (Principal Component Analysis, PCA, and Orthogonal Partial Least Square Discriminant Analysis, OPLS-DA). Among winemaking technologies three were compared: ultrasounds (U; 12 samples), cryomaceration using dry ice (C; 12 samples) and traditional (T; 8 samples). Moreover, each vinification technology was used for grapes grown by two different soil management practices, soil tillage (ST; 16 samples) and cover crop (CC; 16 samples), and by two different training systems, monolateral (M; 16 samples) and bilateral Guyot (B; 16 samples). All statistical models applied on NMR data revealed a good separation between ST (soil tillage) and CC (cover crop), showing a higher influence of the soil management practices compared to the winemaking technologies (ultrasound, cryomaceration and traditional). The differentiation among samples, due to soil management practices, was mainly caused by metabolites such as glycerol, 2,3-butanediol, malic acid, α/β-glucose and phenolic compounds, such as tyrosine and caffeic acid.Entities:
Keywords: MVA analysis; NMR spectroscopy; Negroamaro wine; OPLS-DA; PCA
Mesh:
Year: 2014 PMID: 24837928 DOI: 10.1016/j.foodchem.2014.03.128
Source DB: PubMed Journal: Food Chem ISSN: 0308-8146 Impact factor: 7.514