Romanian Wines Quality and Authenticity Using FT-MIR Spectroscopy Coupled with Multivariate Data Analysis

  • Roxana BANC University of Medicine and Pharmacy “Iuliu Hatieganu”, Faculty of Pharmacy, Department of Bromatology, Hygiene, Nutrition, 6 Pasteur Street, 400349 Cluj-Napoca
  • Felicia LOGHIN University of Medicine and Pharmacy “Iuliu Hatieganu” Cluj-Napoca, Faculty of Pharmacy, Department of Toxicology, 6 Pasteur Street, 400349 Cluj-Napoca, Romania; floghin@umfcluj.ro
  • Doina MIERE University of Medicine and Pharmacy “Iuliu Hatieganu”, Faculty of Pharmacy, Department of Bromatology, Hygiene, Nutrition, 6 Pasteur Street, 400349 Cluj-Napoca
  • Florinela FETEA University of Agricultural Sciences and Veterinary Medicine, Faculty of Food Science and Technology, 3-5 Manastur Street, 400372 Cluj-Napoca
  • Carmen SOCACIU University of Agricultural Sciences and Veterinary Medicine, Faculty of Food Science and Technology, 3-5 Manastur Street, 400372 Cluj-Napoca

Abstract

Fourier Transform Mid-Infrared Spectroscopy (FT-MIR) combined with multivariate data analysis have been applied for the discrimination of 15 different Romanian wines (white, rosé and red wines), obtained from different origin-denominated cultivars. Principal component analysis and hierarchical cluster analysis was performed using different regions of FT-MIR spectra for all wines. The general fingerprint of wines was splitted in four characteristic regions, corresponding to phenolic derivatives, carbohydrates, amino acids and organic acids, which confer the wines quality and authenticity. By qualitative and quantitative evaluation of each component category, it was possible to discriminate each wine category, from red, to rosé and white colours, to dry, half-dry and half-sweet flavours. The multivariate data analysis based on absorption peaks from FT-MIR spectra demonstrated a very good, significant clustering of samples, based on the four main components: phenolics, carbohydrates, amino acids and organic acids. Therefore, the ATR-FT-MIR analysis proved to be a very fast, cheap and efficient tool to evaluate the quality and authenticity of wines, and to discriminate each wine category, based on their colour and sweetness, as consequence of their biological (cultivar) specificity.

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Published
2014-12-02
How to Cite
BANC, R., LOGHIN, F., MIERE, D., FETEA, F., & SOCACIU, C. (2014). Romanian Wines Quality and Authenticity Using FT-MIR Spectroscopy Coupled with Multivariate Data Analysis. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 42(2), 556-564. https://doi.org/10.15835/nbha4229674
Section
Research Articles