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Ultraviolet/visible/near‐infrared spectral analysis and chemometric tools for the discrimination of wines between subzones inside a controlled designation of origin: a case study of R ías B aixas
Author(s) -
MarteloVidal M.J.,
DomínguezAgis F.,
Vázquez M.
Publication year - 2013
Publication title -
australian journal of grape and wine research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.65
H-Index - 77
eISSN - 1755-0238
pISSN - 1322-7130
DOI - 10.1111/ajgw.12003
Subject(s) - chemometrics , near infrared spectroscopy , linear discriminant analysis , principal component analysis , mathematics , pattern recognition (psychology) , artificial intelligence , analytical chemistry (journal) , computer science , chemistry , statistics , chromatography , physics , optics
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 ) R ías B aixas ( S pain). Methods and Results Samples of wines made solely from the A lbariño cultivar from subzones C ondado, S alnés, R osal and R ibeira do U lla 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. S alnés and R ibeira do U lla 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 R ías B aixas. This technique may also assist authentication because the models also discriminated wines from outside R ías B aixas. Significance of the Study The importance of spectral range selection and chemometric tools for the classification of wines inside a DO was demonstrated.