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Identification of milk mixtures by 1 H NMR profiling
Author(s) -
Lamanna Raffaele,
Braca Angela,
Di Paolo Elvio,
Imparato Giovanna
Publication year - 2011
Publication title -
magnetic resonance in chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.483
H-Index - 72
eISSN - 1097-458X
pISSN - 0749-1581
DOI - 10.1002/mrc.2807
Subject(s) - chemistry , principal component analysis , multilinear map , linear discriminant analysis , profiling (computer programming) , aqueous solution , nuclear magnetic resonance spectroscopy , analytical chemistry (journal) , chromatography , statistics , stereochemistry , mathematics , computer science , pure mathematics , operating system
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 by 1 H 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.