Application of fuzzy algorithms in conjunction with H-NMR spectroscopy to differentiate alcoholic beverages.

Journal: Journal of the science of food and agriculture
PMID: 36541578

Abstract

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 the most suitable data-processing methods like those based on advanced statistical tools or artificial intelligence.

Authors

  • Adrian Pirnau
    National Institute for Research and Development of Isotopic and Molecular Technologies, Cluj-Napoca, Romania.
  • Ioana Feher
    National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donath, 400293 Cluj-Napoca, Romania.
  • Costel Sârbu
    Faculty of Chemistry and Chemical Engineering, Babeş-Bolyai University, 11 Arany Janos, 400028 Cluj-Napoca, Romania.
  • Ariana Raluca Hategan
    National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat Street, 400293 Cluj-Napoca, Romania.
  • Francois Guyon
    Service Commun des Laboratoires, Marseille, France.
  • Dana Alina Magdas
    National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat Street, 400293 Cluj-Napoca, Romania.

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