| Identification of milk mixtures by (1) H NMR profiling. | |
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MedLine Citation:
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PMID: 22290705 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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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. |
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Authors:
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Raffaele Lamanna; Angela Braca; Elvio Di Paolo; Giovanna Imparato |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Magnetic resonance in chemistry : MRC Volume: 49 Suppl 1 ISSN: 1097-458X ISO Abbreviation: Magn Reson Chem Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2012-01-31 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9882600 Medline TA: Magn Reson Chem Country: England |
Other Details:
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Languages: eng Pagination: S22-6 Citation Subset: IM |
Copyright Information:
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Copyright © 2012 John Wiley & Sons, Ltd. |
Affiliation:
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ENEA Research Center of Trisaia, SS 106 Jonica Km 419.5, 75026, Rotondella, Mt, Italy. raffaele.lamanna@enea.it. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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