<sup>13</sup>C NMR-Based Chemical Fingerprint for the Varietal and Geographical Discrimination of Wines
A fast, economic, and eco-friendly methodology for the wine variety and geographical origin differentiation using <sup>13</sup>C nuclear magnetic resonance (NMR) data in combination with machine learning was developed. Wine samples of different grape varieties cultivated in different reg...
Main Authors: | Alberto Mannu, Ioannis K. Karabagias, Maria Enrica Di Pietro, Salvatore Baldino, Vassilios K. Karabagias, Anastasia V. Badeka |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-08-01
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Series: | Foods |
Subjects: | |
Online Access: | https://www.mdpi.com/2304-8158/9/8/1040 |
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