Multivariate data analysis in classification of musts and wines of the same variety according to vintage year
1991
Seeber, R. | Leardi, R. | Serra, A.D. | Versini, G.
Multivariate analysis has been used to discriminate among different vintage years (1986, 1987, 1988) of Chardonnay musts and wines from 31 growing areas in a relatively small geographical region of Trentino (Italy). Musts have been analyzed as to their content of amino acids and wines with respect to amino acids, volatile compounds (i.e., alcohols, esters, amides, acids, and others), and metal ions. Principal component analysis has been used as a display technique. To identify the most significant parameters for discrimination, an appropriate stepwise procedure for feature selection was carried out before linear discriminant analysis was applied, which led to quite satisfactory classification and prediction rates. Biochemical and oenological arguments have been proposed to account for the significance of the selected sets of variables. On the other hand, unsatisfactory results were obtained by univariate approach based upon calculation of Fisher weights.
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