Grouping, spectrum-effect relationship and antioxidant compounds of Chinese propolis from different regions using multivariate analyses and off-line anti-DPPH assay

Xiasen Jiang, Linchen Tao, Chunguang Li, Mengmeng You, George Q. Li, Cuiping Zhang, Fuliang Hu

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

49 samples of propolis from different regions in China were collected and analyzed for their chemical compositions, contents of total flavonoids (TFC), total phenolic acid (TPC) and antioxidant activity. High-performance liquid chromatography (HPLC) analysis identified 15 common components, including key marker compounds pinocembrin, 3-O-acetylpinobanksin, galangin, chrysin, benzyl p-coumarate, pinobanksin and caffeic acid phenethyl ester (CAPE). Cluster analysis (CA) and correlation coefficients (CC) analysis showed that these propolis could be divided into three distinct groups. Principal component analysis (PCA) and multiple linear regression analysis (MLRA) revealed that the contents of isoferulic acid, caffeic acid, CAPE, 3,4-dimethoxycinnamic acid, chrysin and apigenin are closely related to the antioxidant properties of propolis. In addition, eight peak areas decreased after reacting with 1,1-Diphenyl-2-picrylhydrazyl (DPPH) radicals, indicating that these compounds have antioxidant activity. The results indicate that the grouping and spectrum-effect relationship of Chinese propolis are related to their chemical compositions, and several compounds may serve as a better marker for the antioxidant activity of Chinese propolis than TFC and TPC. The findings may help to develop better methods to evaluate the quality of propolis from different geographic origins.
Original languageEnglish
Article number3243
Number of pages12
JournalMolecules
Volume25
Issue number14
DOIs
Publication statusPublished - 2020

Open Access - Access Right Statement

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

Keywords

  • China
  • antioxidants
  • cluster analysis
  • high-performance liquid chromatography
  • propolis
  • regression analysis

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