13 C NMR Dataset Qualitative Analysis of Grecian Wines

Alberto Mannu, Ioannis K. Karabagias, Salvatore Baldino, Cristina Prandi, Vassilios K. Karabagias and Anastasia V. Badeka
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Alberto Mannu: Department of Chemistry, University of Turin, via Pietro Giuria 7, 10125 Turin, Italy
Ioannis K. Karabagias: Laboratory of Food Chemistry, Department of Chemistry, University of Ioannina, 45110 Ioannina, Greece
Salvatore Baldino: Department of Chemistry, University of Turin, via Pietro Giuria 7, 10125 Turin, Italy
Cristina Prandi: Department of Chemistry, University of Turin, via Pietro Giuria 7, 10125 Turin, Italy
Vassilios K. Karabagias: Laboratory of Food Chemistry, Department of Chemistry, University of Ioannina, 45110 Ioannina, Greece
Anastasia V. Badeka: Laboratory of Food Chemistry, Department of Chemistry, University of Ioannina, 45110 Ioannina, Greece

Data, 2020, vol. 5, issue 3, 1-7

Abstract: The development of analytical techniques for characterizing food samples, especially for the wine industry, is a main topic of research. Regarding the classification of wines based on their geographical origin, nuclear magnetic resonance (NMR) spectroscopy represents a fast and effective tool for determining chemical fingerprints. Herein, a 13 C NMR dataset, which was acquired for classification of Grecian wines through multivariate statistics, is reported and described. Thus, the main qualitative differences between grapes of the same geographical origin, observable by the visual analysis of the 13 C NMR data, are discussed.

Keywords: wine; 13 C NMR; nuclear magnetic resonance; grape variety (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2020
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