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Tracking adulteration of nectar honey varieties using a high-resolution melting qPCR technique validated with melissopalinology

cris.virtual.author-orcid0000-0002-8601-3536
cris.virtual.author-orcid0000-0003-3211-3563
cris.virtual.author-orcid0000-0002-4848-6957
cris.virtual.author-orcid0000-0001-8372-8459
cris.virtualsource.author-orcidd5dfe19f-4d96-409d-9404-27a4f41fdb18
cris.virtualsource.author-orcidf24977fd-c9be-4884-ad8d-8035e1ff478b
cris.virtualsource.author-orcidd3ada278-7040-437a-b544-791318ac9332
cris.virtualsource.author-orcid6f5a4155-2edb-48cf-b362-f3180e151169
dc.abstract.enHoney is a highly-valued food product, appreciated due to its organoleptic and health-promoting properties; which both depend on its botanical provenance. In this study, a collection of nectar honey varieties (acacia, buckwheat, linden, rape, and heather) was subjected to extensive physicochemical, melissopalynological, and molecular analyses, to verify if the latter (qPCR-HRM) can be used as a rapid method for determination of the product's authenticity. To this end, the DNA extracted from the honey pollen grains was subjected to a carefully pre-optimized qPCR-HRM analysis. The effectiveness of extracting DNA templates relied on various factors but a significant role played honey “pollination” degree. The plastidial rbcL barcode was found to be a better option for the taxonomic differentiation with qPCR-HRM when compared to the nuclear targets. The results showed that qPCR-HRM correctly clustered honey samples of the same botanical origin determined by melissopalynology. The qPCR-HRM clustering results were additionally verified by rbcL region sequencing. The most consistent data were obtained for heather honey with over-represented pollen, which results from the generally observed low availability of plastidial DNA in the total DNA extracts. The qPCR-HRM revealed a biological divergence within the honey samples marketed as “acacia”, as confirmed by melissopalynology.
dc.affiliationWydział Nauk o Żywności i Żywieniu
dc.affiliation.instituteKatedra Biotechnologii i Mikrobiologii Żywności
dc.affiliation.instituteKatedra Biochemii i Analizy Żywności
dc.contributor.authorBorkowska, Monika
dc.contributor.authorBurzyńska, Marta Stefania
dc.contributor.authorPiasecka-Kwiatkowska, Dorota
dc.contributor.authorCelińska, Ewelina
dc.date.accessioned2025-07-17T12:07:47Z
dc.date.available2025-07-17T12:07:47Z
dc.date.issued2024
dc.description.bibliographybibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if6,3
dc.description.numberJanuary 2024
dc.description.points140
dc.description.volume155
dc.identifier.doi10.1016/j.foodcont.2023.110086
dc.identifier.eissn1873-7129
dc.identifier.issn0956-7135
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/3893
dc.languageen
dc.relation.ispartofFood Control
dc.relation.pagesart. 110086
dc.rightsClosedAccess
dc.sciencecloudsend
dc.titleTracking adulteration of nectar honey varieties using a high-resolution melting qPCR technique validated with melissopalinology
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.volume155