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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Vydané v:	Journal of the science of food and agriculture Ročník 103; číslo 4; s. 1727 - 1735
Hlavní autori:	Pirnau, Adrian, Feher, Ioana, Sârbu, Costel, Hategan, Ariana Raluca, Guyon, Francois, Magdas, Dana Alina
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 15.03.2023
Predmet:	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
On-line prístup:	Získať plný text
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