TY - JOUR
T1 - Characterization and authentication of Spanish PDO wine vinegars using multidimensional fluorescence and chemometrics
AU - Ríos-Reina, Rocío
AU - Elcoroaristizabal, Saioa
AU - Ocaña-Gonzalez, Juan A.
AU - García-González, Diego L.
AU - Amigo Rubio, Jose Manuel
AU - Callejón, Raquel M.
PY - 2017
Y1 - 2017
N2 - This work assesses the potential of multidimensional fluorescence spectroscopy combined with chemometrics for characterization and authentication of Spanish Protected Designation of Origin (PDO) wine vinegars. Seventy-nine vinegars of different categories (aged and sweet) belonging to the Spanish PDOs “Vinagre de Jerez”, “Vinagre de Montilla-Moriles” and “Vinagre de Condado de Huelva”, were analyzed by excitation-emission fluorescence spectroscopy. A visual assessment of fluorescence landscapes pointed out different trends with vinegar categories. PARAllel FACtor analysis (PARAFAC) extracted the potential fluorophores and their values in the PDO vinegars. This information, coupled with different classification methods (Partial Least Square Discrimination Analysis “PLS-DA” and Support Vectors Machines “SVM”), was able to discriminate the wine vinegar category within each PDO, for which SVM models obtained better results (>92% of classification). In each category, SVM also allows the differentiation between PDOs. The proposed methodology could be used as an analysis method for the authentication of Spanish PDO wine vinegars.
AB - This work assesses the potential of multidimensional fluorescence spectroscopy combined with chemometrics for characterization and authentication of Spanish Protected Designation of Origin (PDO) wine vinegars. Seventy-nine vinegars of different categories (aged and sweet) belonging to the Spanish PDOs “Vinagre de Jerez”, “Vinagre de Montilla-Moriles” and “Vinagre de Condado de Huelva”, were analyzed by excitation-emission fluorescence spectroscopy. A visual assessment of fluorescence landscapes pointed out different trends with vinegar categories. PARAllel FACtor analysis (PARAFAC) extracted the potential fluorophores and their values in the PDO vinegars. This information, coupled with different classification methods (Partial Least Square Discrimination Analysis “PLS-DA” and Support Vectors Machines “SVM”), was able to discriminate the wine vinegar category within each PDO, for which SVM models obtained better results (>92% of classification). In each category, SVM also allows the differentiation between PDOs. The proposed methodology could be used as an analysis method for the authentication of Spanish PDO wine vinegars.
KW - Multidimensional fluorescence
KW - PARAFAC
KW - PLS-DA
KW - Wine vinegars
U2 - 10.1016/j.foodchem.2017.02.118
DO - 10.1016/j.foodchem.2017.02.118
M3 - Journal article
C2 - 28407890
AN - SCOPUS:85016240394
SN - 0308-8146
VL - 230
SP - 108
EP - 116
JO - Food Chemistry
JF - Food Chemistry
ER -