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

Adrian PirnauIoana FeherCostel SârbuAriana Raluca HateganFrancois GuyonDana Alina Magdas
Published in: Journal of the science of food and agriculture (2023)
H-NMR spectroscopic data were exploited in conjunction with fuzzy algorithms to reduce data dimensionality. The study proved the greater efficiency of using FPCA scores in comparison with those obtained through the widely applied PCA. The proposed approach enabled wines to be distinguished perfectly according to their geographical origins, cultivar, and vintage, and this could be used for wine classification. Moreover, 100% correctly classified samples were also achieved for the botanical and geographical differentiation of fruit distillates. © 2022 Society of Chemical Industry.
Keyphrases
  • machine learning
  • deep learning
  • big data
  • electronic health record
  • magnetic resonance
  • artificial intelligence
  • molecular docking
  • neural network
  • liver injury
  • drug induced