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      Advances in extraction and analysis of phenolic compounds from plant materials

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          Abstract

          Phenolic compounds, the most abundant secondary metabolites in plants, have received more and more attention in recent years because of their distinct bioactivities. This review summarizes different types of phenolic compounds and their extraction and analytical methods used in the recent reports, involving 59 phenolic compounds from 52 kinds of plants. The extraction methods include solid–liquid extraction, ultrasound-assisted extractions, microwave-assisted extractions, supercritical fluid extraction, and other methods. The analysis methods include spectrophotometry, gas chromatography, liquid chromatography, thin-layer chromatography, capillary electrophoresis, and near-infrared spectroscopy. After illustrating the specific conditions of the analytical methods, the advantages and disadvantages of each method are also summarized, pointing out their respective suitability. This review provides valuable reference for identification and/or quantification of phenolic compounds from natural products.

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          Author and article information

          Journal
          CJNM
          Chinese Journal of Natural Medicines
          Elsevier
          1875-5364
          20 October 2017
          : 15
          : 10
          : 721-731
          Affiliations
          1Experiment Center of Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
          2School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
          Author notes
          *Corresponding author: PU Yi-Qiong, Tel: 86-21-51323068, Fax: 86-21-51322337, E-mail: puyiq@ 123456163.com ; ZHANG Tong, Tel: 86-21-51322318, E-mail: zhangtdmj@ 123456hotmail.com

          These authors have no conflict of interest to declare.

          Article
          S1875-5364(17)30103-6
          10.1016/S1875-5364(17)30103-6
          Copyright © 2017 China Pharmaceutical University. Published by Elsevier B.V. All rights reserved.
          Funding
          Funded by: National Natural Science Foundation of China
          Award ID: 81303233
          Funded by: Shanghai Committee of Science and Technology
          Award ID: 13401900300
          Funded by: Budget Program of Shanghai University of Traditional Chinese Medicine
          Award ID: 2016YSN22
          This work was financially supported by National Natural Science Foundation of China (No. 81303233), Shanghai Committee of Science and Technology (No. 13401900300), and Budget Program of Shanghai University of Traditional Chinese Medicine (2016YSN22).

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