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

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.