Publication Cover
Natural Product Research
Formerly Natural Product Letters
Volume 35, 2021 - Issue 21
134
Views
7
CrossRef citations to date
0
Altmetric
Short Communications

High hydroxycinnamic acids contents in fennel honey produced in Southern Italy

, ORCID Icon, , , , , , , , & show all
Pages 4104-4109 | Received 04 Dec 2019, Accepted 25 Jan 2020, Published online: 05 Feb 2020
 

Abstract

A total of 122 honey samples (Apis mellifera ssp. Ligustica) collected from Southern Italy were examined for floral identification by melissopalynological examination and for polyphenols detection by an LC–ESI-OrbitrapTM -MS/MS method. The melissopalynological examination confirmed all the samples examined as fennel (Foeniculum vulgare) unifloral variety. The analytical method carried out for polyphenols detection showed satisfactory linearity and recovery values, achieved during the validation of the method. Very high amounts of flavonols (kaempferol and quercetin) and hydroxycinnamic acids (caffeic acid, chlorogenic acid and ferulic acid), were found in all the samples examined. Among the hydroxycinnamic acids group, caffeic acid showed the highest mean contents (865.90 ± 67.07 µg/kg). The results of this work confirmed the high presence of phenolic acids with strong free radical–scavenging activity in fennel products such as honey, suggesting their use to reduce oxidative stress.

Graphical Abstract

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 861.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.