Lambrusco is a Protected Designation of Origin (P.D.O.) red wine of Modena (Italy) produced according to the production regulation (Decreto Ministeriale (D.M.) July 27th, 2009; G.U. n. 184-187-188, 13/08/2009). Here the use of 1H NMR spectroscopy as molecular fingerprints of several P.D.O. Lambrusco wines was proposed in order to serve as indicator of authenticity and quality control. Application of Partial Least Squares Discriminant Analysis (PLS-DA) revealed a good varietal discrimination by analyzing the low frequency spectral region. This model explains 68.8% of the variance for the Y vector (classification factor: varietal source). In particular, the signals of 2,3-butanediol, lactic, succinic and malic acids, and threonine were found to be the most statistically significant variables in the model. These findings seem to be very promising in the attempt to extend the study to geographical discrimination.
Application of One- and Two-Dimensional NMR Spectroscopy for the Characterization of Protected Designation of Origin Lambrusco Wines of Modena / Papotti, Giulia; Bertelli, Davide; Graziosi, Riccardo; Silvestri, Michele; Bertacchini, Lucia; Durante, Caterina; Plessi, Maria. - In: JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY. - ISSN 0021-8561. - STAMPA. - 61:8(2013), pp. 1741-1746. [10.1021/jf302728b]
Application of One- and Two-Dimensional NMR Spectroscopy for the Characterization of Protected Designation of Origin Lambrusco Wines of Modena
PAPOTTI, GIULIA;BERTELLI, Davide;GRAZIOSI, RICCARDO;SILVESTRI, MICHELE;BERTACCHINI, LUCIA;DURANTE, Caterina;PLESSI, Maria
2013
Abstract
Lambrusco is a Protected Designation of Origin (P.D.O.) red wine of Modena (Italy) produced according to the production regulation (Decreto Ministeriale (D.M.) July 27th, 2009; G.U. n. 184-187-188, 13/08/2009). Here the use of 1H NMR spectroscopy as molecular fingerprints of several P.D.O. Lambrusco wines was proposed in order to serve as indicator of authenticity and quality control. Application of Partial Least Squares Discriminant Analysis (PLS-DA) revealed a good varietal discrimination by analyzing the low frequency spectral region. This model explains 68.8% of the variance for the Y vector (classification factor: varietal source). In particular, the signals of 2,3-butanediol, lactic, succinic and malic acids, and threonine were found to be the most statistically significant variables in the model. These findings seem to be very promising in the attempt to extend the study to geographical discrimination.File | Dimensione | Formato | |
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