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Keywords:

  • classification;
  • controlled designation of origin;
  • LDA;
  • NIR;
  • SIMCA;
  • SVM;
  • wine;
  • UV;
  • VIS

Abstract

Background and Aims

Chemometrics combined with ultraviolet (UV), visible (VIS) and near-infrared (NIR) spectral analysis were evaluated to classify wines belonging to the controlled designation of origin (DO) Rías Baixas (Spain).

Methods and Results

Samples of wines made solely from the Albariño cultivar from subzones Condado, Salnés, Rosal and Ribeira do Ulla were analysed in transmittance mode using UV, VIS and NIR ranges alone or in combination. Principal component analysis was used to explore and determine data patterns. Soft independent modelling of class analogy (SIMCA), linear discriminant analysis and support vector machine classification were used to classify the samples. Condado wines were completely classified by applying SIMCA to the UV/VIS/NIR, NIR or VIS/NIR spectral ranges. Salnés and Ribeira do Ulla wines were completely classified by applying SIMCA to the UV/VIS spectral range. Finally, Rosal wines were completely classified by applying linear discriminant analysis to the VIS/NIR spectral range.

Conclusions

These results show that combinations of UV/VIS/NIR spectra and chemometric methods can be used as a rapid technique to classify subzones into a DO such as Rías Baixas. This technique may also assist authentication because the models also discriminated wines from outside Rías Baixas.

Significance of the Study

The importance of spectral range selection and chemometric tools for the classification of wines inside a DO was demonstrated.