Journal
JOURNAL OF PHARMACEUTICAL ANALYSIS
Volume 11, Issue 4, Pages 465-471Publisher
ELSEVIER
DOI: 10.1016/j.jpha.2020.07.010
Keywords
C; chinensis fruits; HPLC-MS; MS; Polyphenols; Principal components analysis; Hierarchical cluster analysis
Categories
Funding
- National Natural Science Foundation of China [82073808, 81872828, 81573384]
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A simple, rapid and sensitive HPLC-MS/MS method was developed for identification and quantitation of polyphenols in Cercis Chinensis Bunge fruits. Eighteen polyphenols, first reported in C. chinensis fruits, were identified and ten components were quantified. Principal component analysis and hierarchical cluster analysis showed that phenolic acids or all ten components could differentiate C. chinensis fruits of different phytomorph.
The fruits of leguminous plants Cercis Chinensis Bunge are still overlooked although they have been reported to be antioxidative because of the limited information on the phytochemicals of C. chinensis fruits. A simple, rapid and sensitive HPLC-MS/MS method was developed for the identification and quantitation of the major bioactive components in C. chinensis fruits. Eighteen polyphenols were identified, which are first reported in C. chinensis fruits. Moreover, ten components were simultaneously quantified. The validated quantitative method was proved to be sensitive, reproducible and accurate. Then, it was applied to analyze batches of C. chinensis fruits from different phytomorph and areas. The principal components analysis (PCA) realized visualization and reduction of data set dimension while the hierarchical cluster analysis (HCA) indicated that the content of phenolic acids or all ten components might be used to differentiate C. chinensis fruits of different phytomorph. (c) 2020 Xi'an Jiaotong University. Production and hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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