Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/14192
Title: Comparison of palynological method and chromatographic analysis combined with chemometrics to identify botanical origin of propolis
Authors: Güzelmeriç, Etil
Daştan, Tuğçe
Sen, Nisa Beril
Erdem, Özge
Özdemir, Durmuş
Yeşilada, Erdem
Keywords: Hierarchical clustering analysis (HCA)
High-performance thin-layer chromatography (HPTLC)
Liquid chromatography-tandem mass spectrometry (LC-MS/MS)
Pollen analysis
Principal component analysis (PCA)
Publisher: Springer
Abstract: There has been a growing trend in consumer’s preferences for food supplements containing propolis due to having a wide range of phenolic compounds to promote health. Honeybees’ used main plant source will determine propolis chemical composition thus its biological activity. Thus, determination of the propolis botanical source is highly important for its standardization and prediction of its pharmacological activity. There are two commonly applied methods to seek propolis botanical sources: chromatographic techniques and palynological analysis. In this study, high-performance thin-layer chromatography (HPTLC) and ultra-high-performance liquid chromatography combined with mass spectrometer (LC-MS/MS) applied comparatively with pollen analysis to propolis samples. The results of the chromatographic analyses were evaluated with principal component analysis (PCA) and hierarchical clustering analysis (HCA). Consequently, chromatographic techniques applied in this study were found to be superior to pollen analysis to identify the main plant source of propolis. Besides, HPTLC images revealed not only main botanical sources but also minor sources of propolis. Therefore, HPTLC fingerprinting combined with PCA and HCA resulted in grouping propolis samples according to geographical regions. This study may lead to pharmaceutical industries for the quality assurance of propolis while preparing standardized propolis formulations in the market with desired pharmacological properties. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
URI: https://doi.org/10.1007/s00217-023-04420-9
https://hdl.handle.net/11147/14192
ISSN: 1438-2377
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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