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13 C NMR Dataset Qualitative Analysis of Grecian Wines

Author

Listed:
  • 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)

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.

Suggested Citation

  • Alberto Mannu & Ioannis K. Karabagias & Salvatore Baldino & Cristina Prandi & Vassilios K. Karabagias & Anastasia V. Badeka, 2020. "13 C NMR Dataset Qualitative Analysis of Grecian Wines," Data, MDPI, vol. 5(3), pages 1-7, September.
    • Handle: RePEc:gam:jdataj:v:5:y:2020:i:3:p:78-:d:409501
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