Journal
FOOD CHEMISTRY
Volume 161, Issue -, Pages 112-119Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2014.03.128
Keywords
Negroamaro wine; NMR spectroscopy; MVA analysis; PCA; OPLS-DA
Funding
- University of Salento
- Ministero dell'Istruzione, dell'Universita e della Ricerca (MIUR), PON Human and Environment Health Research Center (2HE - Research Center) [PONa3_00334]
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Metabolic profiles of 32 Negroamaro red wines were analysed using H-1 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, ctyomaceration and traditional). The differentiation among samples, due to soil management practices, was mainly caused by metabolites such as glycerol, 2,3-butanediol, malic acid, alpha/beta-glucose and phenolic compounds, such as tyrosine and caffeic acid. (C) 2014 Elsevier Ltd. All rights reserved.
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