Screening method for chromatographic analysis of diarylheptanoids in alder bark extracts

  • Līga Lauberte (Corresponding Author)
  • , Jevgenija Ponomarenko
  • , Alexander Arshanitsa

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

An experimentally proven novel analytical approach for chromatographic analysis of diarylheptanoids in grey alder (Alnus incana) and black alder (Alnus glutinosa) bark matrices was established. A method for qualitative and quantitative determination of oregonin (dominant diarylheptanoid) and semiquantitative analysis of related diarylheptanoids from alder bark using a photodiode array (PDA) detector coupled to a high-resolution mass spectrometer (QTOF-MS) was developed. A comparison of different liquid chromatography detectors (UV, MS and ELS) showed that only a combination of them is applicable for comprehensive analysis of multicomponent extracts. A total of sixteen different diarylheptanoids were simultaneously identified and semi-quantified in alder bark extracts. This is the first report of the method for individual and total diarylheptanoid determination in alder bark extracts, discussed in detail. The liquid chromatography complex is suggested as a tool for the reliable identification and quality control of the diarylheptanoids containing extracts isolated from the Alnus species and their dominant component - oregonin. The semiquantitative methodology established, and the dominant compound quantification provided means for assessing comparative sample complexities.

Original languageEnglish
Article number114727
JournalJournal of Pharmaceutical and Biomedical Analysis
Volume214
DOIs
Publication statusPublished - 30 May 2022
Externally publishedYes

Keywords*

  • Alder bark
  • Diarylheptanoids
  • Oregonin
  • Quantitative and semi-quantitative analysis
  • UHPLC-UV-ELS
  • UHPLC-UV-ESI-MS/MS

Field of Science*

  • 1.4 Chemical sciences
  • 3.1 Basic medicine

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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