Propolis has various biological activities closely related to the composition which varies according to environmental factors and also to the method of production. The present 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 1H NMR and heteronuclear multiple bond correlation (HMBC) spectra were then acquired. Spectral data were analysed by application of multivariate statistical techniques (Factor Analysis and General Discriminant Analysis). The best results were obtained using the 1H NMR which furnishes a sufficiently effective model by analysing the spectral region between 4.50 and 13.00 ppm (predictive capacity: 96.7%).Keywoards: propolis; NMR; chemometrics; harvesting methods; chemical fingerprint.
Use of HR-NMR to classify propolis obtained using different harvesting methods / Papotti, Giulia; Bertelli, Davide; Plessi, Maria; Rossi, Maria Cecilia. - In: INTERNATIONAL JOURNAL OF FOOD SCIENCE & TECHNOLOGY. - ISSN 0950-5423. - STAMPA. - 45:8(2010), pp. 1610-1618. [10.1111/j.1365-2621.2010.02310.x]
Use of HR-NMR to classify propolis obtained using different harvesting methods
PAPOTTI, GIULIA;BERTELLI, Davide;PLESSI, Maria;ROSSI, Maria Cecilia
2010
Abstract
Propolis has various biological activities closely related to the composition which varies according to environmental factors and also to the method of production. The present 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 1H NMR and heteronuclear multiple bond correlation (HMBC) spectra were then acquired. Spectral data were analysed by application of multivariate statistical techniques (Factor Analysis and General Discriminant Analysis). The best results were obtained using the 1H NMR which furnishes a sufficiently effective model by analysing the spectral region between 4.50 and 13.00 ppm (predictive capacity: 96.7%).Keywoards: propolis; NMR; chemometrics; harvesting methods; chemical fingerprint.File | Dimensione | Formato | |
---|---|---|---|
propoli origine articolo pubblicato.pdf
Accesso riservato
Tipologia:
Versione pubblicata dall'editore
Dimensione
704.17 kB
Formato
Adobe PDF
|
704.17 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris