Nuclear magnetic resonance profiling of wine blends

Giovanna Imparato, Elvio Di Paolo, Angela Braca, Raffaele Lamanna

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19 Citations (Scopus)

Abstract

Nuclear magnetic resonance (NMR) profiling is used for characterization of monocultivar binary wine mixtures. Classification and quantification of the relative amount of wine in the mixture are made in two steps. First, each sample is classified as a mixture of a determined type by solving the appropriate classification problem usingNMRprofiles. The relative amount of the two corresponding monovarietal wines is then evaluated by multilinear regression of a selected set ofNMRvariables. Linear discriminant analysis (LDA), used in the classification step, gives a very good separation among the different mixture classes. On the other hand, a single layer artificial neural network, used to solve the multilinear problem, gives the relative amount of wine type in the mixture with a precision of about 10%. © 2011 American Chemical Society.
Original languageEnglish
Pages (from-to)4429 - 4434
Number of pages6
JournalJournal of Agricultural and Food Chemistry
Volume59
Issue number9
DOIs
Publication statusPublished - 11 May 2011
Externally publishedYes

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All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Agricultural and Biological Sciences(all)

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