The present study was aimed at the identification, differentiation and characterization of red and white Cretan wines, which are described with Protected Geographical Indication (PGI), using ultraviolet–visible absorption spectroscopy. Specifically, the grape variety, the wine aging process and the role of barrel/container type were investigated. The combination of spectroscopic results with machine learning-based modelling demonstrated the use of absorption spectroscopy as a facile and low-cost technique in wine analysis. In this study, a clear discrimination among grape varieties was revealed. Moreover, a grouping of samples according to aging period and container type of maturation was accomplished, for the first time.
In addition, we present results from the correlation of optical spectroscopy data with conventional analytical techniques.
Typical UV-Vis spectra of four different wine samples
Discrimination of Grape Varieties
Discrimination of Wines According to Aging Time
Discrimination of Container Type
Correlation of Absorption Spectroscopy with Classical Analytical Methods