TY - JOUR
T1 - NMR spectroscopy evaluation of direct relationship between soils and molecular composition of red wines from Aglianico grapes
AU - Francesca, Nicola
AU - Moschetti, Giancarlo
AU - Mazzei, Pierluigi
AU - Piccolo, Alessandro
PY - 2010
Y1 - 2010
N2 - 1H NMR spectroscopy was employed to investigate the molecular quality of Aglianico red wines from the Campania region of Italy. The wines were obtained from three different Aglianico vineyards characterized by different microclimatic and pedological properties. In order to reach an objective evaluation of “terroir” influence on wine quality, grapes were subjected to the same winemaking procedures. The careful subtraction of water and ethanol signals from NMR spectra allowed to statistically recognize the metabolites to be employed in multivariate statistical methods: Principal Component Analysis (PCA), Discriminant Analysis (DA) and Hierarchical Clustering Analysis (HCA). The three wines were differentiated from each other by six metabolite: α-Hydroxyisobutyrate, Lactic acid, Succinic acid, Glycerol, α-Fructose and β-D-Glucuronic acid. All multivariate analyses confirmed that the differentiation among the wines were related to micro-climate, and carbonate, clay, and organic matter content of soils. Additionally, the wine discrimination ability of NMR spectroscopy combined with chemometric methods, was proved when commercial Aglianico wines, deriving from different soils, were shown to be statistically different from the studied wines. Our findings indicate that multivariate statistical elaboration of NMR spectra of wines is a fast and accurate method to evaluate the molecular quality of wines, underlining the objective relation with terroir.
AB - 1H NMR spectroscopy was employed to investigate the molecular quality of Aglianico red wines from the Campania region of Italy. The wines were obtained from three different Aglianico vineyards characterized by different microclimatic and pedological properties. In order to reach an objective evaluation of “terroir” influence on wine quality, grapes were subjected to the same winemaking procedures. The careful subtraction of water and ethanol signals from NMR spectra allowed to statistically recognize the metabolites to be employed in multivariate statistical methods: Principal Component Analysis (PCA), Discriminant Analysis (DA) and Hierarchical Clustering Analysis (HCA). The three wines were differentiated from each other by six metabolite: α-Hydroxyisobutyrate, Lactic acid, Succinic acid, Glycerol, α-Fructose and β-D-Glucuronic acid. All multivariate analyses confirmed that the differentiation among the wines were related to micro-climate, and carbonate, clay, and organic matter content of soils. Additionally, the wine discrimination ability of NMR spectroscopy combined with chemometric methods, was proved when commercial Aglianico wines, deriving from different soils, were shown to be statistically different from the studied wines. Our findings indicate that multivariate statistical elaboration of NMR spectra of wines is a fast and accurate method to evaluate the molecular quality of wines, underlining the objective relation with terroir.
KW - Aglianico red wines
KW - Multivariate statistical analysis
KW - Nuclear Magnetic Resonance
KW - terroir
KW - Aglianico red wines
KW - Multivariate statistical analysis
KW - Nuclear Magnetic Resonance
KW - terroir
UR - http://hdl.handle.net/10447/55305
M3 - Article
SP - 167
EP - 172
JO - Analytica Chimica Acta
JF - Analytica Chimica Acta
SN - 0003-2670
ER -