Document Detail


Geographical characterization of polyfloral and acacia honeys by nuclear magnetic resonance and chemometrics.
MedLine Citation:
PMID:  18627162     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The importance of geographical origin determination is an increasing and pressing requirement for all foods. Honey is one of the largest studied foods due to its nutritional and medicinal properties in a correct diet. In this paper, a total of 41 honey samples (polyfloral and acacia) from different countries have been analyzed in terms of (1)H NMR spectroscopy coupled with multivariate statistical methods. Unsupervised principal component analysis resulted as an efficient tool in distinguishing (1)H NMR spectra of polyfloral and acacia honey samples and for geographical characterization of the latter ones. Hierarchical projection to latent structures discriminant analysis was successfully applied for the discrimination among polyfloral honey samples of different geographical origins. (13)C NMR spectroscopy was applied to honey samples with the aim to investigate possible sugar isoforms differentiation. Our preliminary data indicated a different isoforms ratio between betaFP and betaFF only for polyfloral Argentinean samples, while Hungarian samples showed resonance shifts for some carbons of alphaFF, betaFP, betaFF, and alphaGP isoforms for both varieties. These data confirmed the potentiality of (13)C spectroscopy in food characterization, especially in sugar-based foods.
Authors:
Roberto Consonni; Laura R Cagliani
Publication Detail:
Type:  Journal Article     Date:  2008-07-16
Journal Detail:
Title:  Journal of agricultural and food chemistry     Volume:  56     ISSN:  1520-5118     ISO Abbreviation:  J. Agric. Food Chem.     Publication Date:  2008 Aug 
Date Detail:
Created Date:  2008-08-20     Completed Date:  2008-10-06     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0374755     Medline TA:  J Agric Food Chem     Country:  United States    
Other Details:
Languages:  eng     Pagination:  6873-80     Citation Subset:  IM    
Affiliation:
Istituto per lo Studio delle Macromolecole, Laboratory, NMR, CNR, v. Bassini 15, 20133 Milan, Italy. roberto.consonni@ismac.cnr.it
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MeSH Terms
Descriptor/Qualifier:
Acacia*
Analysis of Variance
Argentina
Environment*
Europe
Flowers*
Honey / analysis*,  classification
Magnetic Resonance Spectroscopy*
Pollen / chemistry

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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