PREDICTION OF SOME PHYSICOCHEMICAL PARAMETERS IN RED WINES FROM ULTRAVIOLET-VISIBLE SPECTRA USING A PARTIAL LEAST-SQUARES MODEL IN LATENT-VARIABLES

被引：15

作者：

GARCIAJARES, C ^{[1
]}

MEDINA, B ^{[1
]}

机构：

[1] LAB INTERREG BORDEAUX,DIRECT GEN CONCURRENCE CONSOMMAT & REPRESS FRAUDE,F-33405 TALENCE,FRANCE

来源：

ANALYST | 1995年 / 120卷 / 07期

关键词：

RED WINE; MULTIVARIATE CALIBRATION; PREDICTION OF CHEMICAL COMPOSITION; PARTIAL LEAST-SQUARES IN LATENT VARIABLES; PREDICTION QUALITY;

D O I：

10.1039/an9952001891

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

A method for the rapid prediction of some physico-chemical parameters usually determined by classical methods in red wines (fetal acidity, volatile acidity, pH, free sulfur dioxide, tannins and total anthocyans) from the UV/VIS spectrum is proposed. A partial least-squares (PLS) model in latent variables was developed to relate the chemical variables to the spectra, Prediction of composition was achieved with a low prediction error in young red wines, some of them 'Grand Cru' from the Bordeaux production area, A similar procedure was applied to commercial red wines, that constituted a more heterogeneous group, with acceptable results. Finally, the model was extended to any red wine, without loss of prediction quality. In the last case, prediction errors were: total acidity, 5.0%; volatile acidity, 9.9%; free sulfur dioxide, 29%; pH, 3.3%; tannins, 11% and total anthocyans, 22%.

引用

页码：1891 / 1896

页数：6