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Identification of milk mixtures by 1H NMR profiling

✍ Scribed by Raffaele Lamanna; Angela Braca; Elvio Di Paolo; Giovanna Imparato

Publisher
John Wiley and Sons
Year
2011
Tongue
English
Weight
253 KB
Volume
49
Category
Article
ISSN
0749-1581

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✦ Synopsis

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 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 Β© 2012 John Wiley & Sons, Ltd.

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