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Use of HR‐NMR to classify propolis obtained using different harvesting methods
Author(s) -
Papotti Giulia,
Bertelli Davide,
Plessi Maria,
Rossi Maria Cecilia
Publication year - 2010
Publication title -
international journal of food science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.831
H-Index - 96
eISSN - 1365-2621
pISSN - 0950-5423
DOI - 10.1111/j.1365-2621.2010.02310.x
Subject(s) - propolis , wax , multivariate statistics , chromatography , heteronuclear molecule , chemistry , linear discriminant analysis , multivariate analysis , statistical analysis , mathematics , nuclear magnetic resonance spectroscopy , statistics , food science , stereochemistry , organic chemistry
Summary Propolis has various biological activities closely related to the composition which varies according to environmental factors and also to the method of production. This study was aimed at determining whether or not HR‐NMR and multivariate statistical analysis were able to classify propolis according to the method used to harvest it. Sixty propolis samples were analysed in all. The ethanolic propolis extracts were initially analysed for quantification of the main bioactive substances, balsams and waxes. The 1 H NMR and heteronuclear multiple bond correlation spectra were then acquired. Spectral data were analysed by the application of multivariate statistical techniques (Factor Analysis and General Discriminant Analysis). The best results were obtained using the 1 H NMR which furnishes a sufficiently effective model by analysing the spectral region between 4.50 and 13.00 ppm (predictive capacity: 96.7%).