Classification of red wines from controlled designation of origin by ultraviolet-visible and near-infrared spectral analysis

María J Martelo-Vidal,Manuel Vázquez

doi:10.1051/ctv/20142901035

María J Martelo-Vidal, Manuel Vázquez

Open Access

https://doi.org/10.1051/ctv/20142901035

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Abstract

Spectroscopy has become one of the most attractive and commonly used methods of analysis in many agricultural products. Chemometrics combined with ultraviolet (UV), visible (VIS) and near-infrared (NIR) spectral analysis were evaluated to classify wines between two controlled designation of origin (DO) of Spain (Rias Baixas and Riberia Sacra). The aim of this work was to determine the feasibility of using the UV-VISNIR spectroscopy combined with chemometrics tools to discriminate between red wines of different DO. Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA) were applied to classify the red wines by their UV-VIS-NIR spectra. Several pre-treatments were applied to improve the classification. The best classification of red wines was obtained in UV-VIS-NIR raw data for LDA models (100% of classification). Results of classification with SVM classification models were slightly lower than LDA results (97.3% for the pretreatment Centred and scaled). This shows the importance of a good selection of the chemometric method of classification. UV, VIS and NIR spectral data with chemometrics tools showed the feasibility of classifying red wines.

Highlights

SUMMARYSpectroscopy has become one of the most attractive and commonly used methods of analysis in many agricultural products
Different methods and analytical techniques together inexpensive and powerful computers have developed and optimized to analyse wine composition in several fields as medical, pharmaceutical, petrochemical or food production. These techniques and methods combined with chemometric analyses allow to determine origin of foods, adulterated foods and composition (Cozzolino et al, 2011; Perez et al, 2011; Villagra et al, 2012; Alamprese et al, 2013)
UV, VIS and NIR spectral data with chemometrics tools showed the feasibility of classifying red wines from designation of origin (DO) Rías Baixas and Ribeira Sacra

Summary

SUMMARY

Spectroscopy has become one of the most attractive and commonly used methods of analysis in many agricultural products. Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA) were applied to classify the red wines by their UV-VIS-NIR spectra. Results of classification with SVM classification models were slightly lower than LDA results (97.3% for the pretreatment Centred and scaled) This shows the importance of a good selection of the chemometric method of classification. Máquina de Vectores de Suporte (SVM) e Análise Linear Discriminante (LDA) foram aplicadas para classificar os vinhos tintos com base nos seus espectros UV-VIS-NIR. Os resultados da classificação com modelos de classificação SVM foram ligeiramente mais baixos do que os resultados da LDA (97,3% para o pré-tratamento Centrado e escalado). É ainda demonstrada a viabilidade da utilização de dados espectrais UV, VIS e NIR combinados com ferramentas quimiométricas para a classificação de vinhos tintos

INTRODUCTION

MATERIAL AND METHODS

RESULTS AND DISCUSSION

CONCLUSIONS