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

Background 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...

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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:	Chichester, UK John Wiley & Sons, Ltd 15.03.2023 John Wiley and Sons, Limited
Predmet:	1H‐NMR agriculture Alcoholic beverages Algorithms Artificial intelligence Beverages Classification Cultivars Differentiation Discriminant analysis Distillates food fraud Fraud fruit spirits Fruits fuzzy algorithms Geographical distribution Magnetic resonance spectroscopy Metabolomics NMR NMR spectroscopy Nuclear magnetic resonance nuclear magnetic resonance spectroscopy principal component analysis Principal components analysis spectral analysis Spectroscopy Spectrum analysis Statistical analysis Statistics Wine Wines
ISSN:	0022-5142, 1097-0010
On-line prístup:	Získať plný text
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