Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/14192
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dc.contributor.authorGüzelmeriç, Etil-
dc.contributor.authorDaştan, Tuğçe-
dc.contributor.authorSen, Nisa Beril-
dc.contributor.authorErdem, Özge-
dc.contributor.authorÖzdemir, Durmuş-
dc.contributor.authorYeşilada, Erdem-
dc.date.accessioned2024-01-06T07:22:34Z-
dc.date.available2024-01-06T07:22:34Z-
dc.date.issued2023-
dc.identifier.issn1438-2377-
dc.identifier.urihttps://doi.org/10.1007/s00217-023-04420-9-
dc.identifier.urihttps://hdl.handle.net/11147/14192-
dc.description.abstractThere 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.en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofEuropean Food Research and Technologyen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHierarchical clustering analysis (HCA)en_US
dc.subjectHigh-performance thin-layer chromatography (HPTLC)en_US
dc.subjectLiquid chromatography-tandem mass spectrometry (LC-MS/MS)en_US
dc.subjectPollen analysisen_US
dc.subjectPrincipal component analysis (PCA)en_US
dc.titleComparison of palynological method and chromatographic analysis combined with chemometrics to identify botanical origin of propolisen_US
dc.typeArticleen_US
dc.authorid0000-0003-3297-8217-
dc.institutionauthorÖzdemir, Durmuş-
dc.departmentİzmir Institute of Technology. Chemistryen_US
dc.identifier.wosWOS:001129200700001en_US
dc.identifier.scopus2-s2.0-85179716348en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1007/s00217-023-04420-9-
dc.authorscopusid56486010700-
dc.authorscopusid57195633806-
dc.authorscopusid57224165674-
dc.authorscopusid57226245919-
dc.authorscopusid57212093641-
dc.authorscopusid7007088981-
item.grantfulltextembargo_20260101-
item.openairetypeArticle-
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.dept04.01. Department of Chemistry-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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