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231225s2022 xx |||||o 00| ||eng c |
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|a 10.1002/mrc.5226
|2 doi
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|a pubmed24n1105.xml
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|a eng
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|a Piacenza, Elena
|e verfasserin
|4 aut
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|a Differentiation among dairy products by combination of fast field cycling NMR relaxometry data and chemometrics
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|c 2022
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 04.03.2022
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|a Date Revised 04.03.2022
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a © 2021 John Wiley & Sons, Ltd.
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|a A set of commercial milk and Sicilian cheeses was analysed by a combination of fast field cycling (FFC) nuclear magnetic resonance (NMR) relaxometry and chemometrics. The NMR dispersion (NMRD) curves were successfully analysed with a mathematical model applied on Parmigiano-Reggiano (PR) cheese. Regression parameters were led back to the molecular components of cheeses (water trapped in casein micelles, proteins and fats) and milk samples (water belonging to hydration shells around dispersed colloidal particles of different sizes and bulk water). The application of chemometric analysis on relaxometric data enabled differentiating milk from cheeses and revealing differences within the two sample groups of either cheeses or milk samples. Marked differences among cheeses were evidenced by statistical analysis of the sole quadrupolar peaks parameters, suggesting that these contain information on the nature of the milk used during cheese production. Hence, combination of FFC NMR and chemometrics represents a powerful tool to investigate alterations in dairy products
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a FFC NMR
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|a cheese
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|a chemometrics
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|a dairy products
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|a milk
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|a relaxometry
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|a Chillura Martino, Delia Francesca
|e verfasserin
|4 aut
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|a Cinquanta, Luciano
|e verfasserin
|4 aut
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1 |
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|a Conte, Pellegrino
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Lo Meo, Paolo
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Magnetic resonance in chemistry : MRC
|d 1985
|g 60(2022), 3 vom: 11. März, Seite 369-385
|w (DE-627)NLM098179667
|x 1097-458X
|7 nnns
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| 773 |
1 |
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|g volume:60
|g year:2022
|g number:3
|g day:11
|g month:03
|g pages:369-385
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|u http://dx.doi.org/10.1002/mrc.5226
|3 Volltext
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