Application of fuzzy algorithms in conjunction with 1 H‐NMR spectroscopy to differentiate alcoholic beverages

Recent statistics from the European Commission indicate that wine is one of the commodities most commonly subject to food fraud. In this context, the development of reliable classification models to differentiate alcoholic beverages requires, besides sensitive analytical tools, the use of the most s...

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Bibliographic Details

Published in:	Journal of the science of food and agriculture Vol. 103; no. 4; pp. 1727 - 1735
Main Authors:	Pirnau, Adrian, Feher, Ioana, Sârbu, Costel, Hategan, Ariana Raluca, Guyon, Francois, Magdas, Dana Alina
Format:	Journal Article
Language:	English
Published:	England 15.03.2023
Subjects:	Alcoholic Beverages - analysis Artificial Intelligence Magnetic Resonance Spectroscopy - methods Wine - analysis fruit spirits 1H-NMR wines fuzzy algorithms principal component analysis
ISSN:	0022-5142, 1097-0010, 1097-0010
Online Access:	Get full text
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