title: Identification of milk mixtures by 1H NMR profiling.
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.
authors.affiliation: ENEA Research Center of Trisaia, SS 106 Jonica Km 419.5, 75026 Rotondella, Mt, Italy. raffaele.lamanna@enea.it
authors.forename: Raffaele
authors.initials: R
authors.lastname: Lamanna
authors.forename: Angela
authors.initials: A
authors.lastname: Braca
authors.forename: Elvio
authors.initials: E
authors.lastname: Di Paolo
authors.forename: Giovanna
authors.initials: G
authors.lastname: Imparato
mesh_terms: D000818:Animals; D002417:Cattle; D009682:Magnetic Resonance Spectroscopy; D008892:Milk / Q000737:chemistry* / Q000592:standards; D011786:Quality Control; D012044:Regression Analysis; D012756:Sheep