Identification of milk mixtures by

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

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Abstract

Nuclear magnetic resonance profiling, combined with a single-layer artificial neural network, is used for the evaluation of the content of mixtures of different kinds of milk. In particular, aqueous fractions of cow and sheep milk mixtures are analyzed by1H NMR. The spectral differences are highlighted by an analysis of the variance and a principal component analysis. The species classification problem is solved by a linear discriminant analysis. The quantification of the relative amount of the milk of two different species is then achieved by solving the appropriate multilinear problem. Copyright © 2012 John Wiley & Sons, Ltd.
Original languageEnglish
Pages (from-to)-
JournalMagnetic Resonance in Chemistry
Volume49
Issue numberSUPPL. 1
DOIs
Publication statusPublished - Dec 2011
Externally publishedYes

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All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Materials Science(all)

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