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Qualitative and Quantitative Evaluation of Phenolic Compounds in Iris dichotoma Pall
Author(s) -
Wei Yuling,
Shu Pan,
Hong Junli,
Qin Minjian
Publication year - 2011
Publication title -
phytochemical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 72
eISSN - 1099-1565
pISSN - 0958-0344
DOI - 10.1002/pca.1343
Subject(s) - chemistry , rhizome , chromatography , principal component analysis , quantitative analysis (chemistry) , qualitative analysis , high performance liquid chromatography , mass spectrometry , traditional medicine , medicine , qualitative research , social science , sociology , computer science , artificial intelligence
The rhizome of Iris dichotoma Pall., a traditional Chinese herbal medicine that contains (iso) flavonoids as the main bioactive compound, has been used to treat several disorders such as inflammation, throat disorders, asthma and coughs. However, there is a lack of suitable methods for its qualitative and quantitative analysis as well as quality control. Objectives To establish an HPLC method for the simultaneous determination of phenolic constituents, the identification of characteristic metabolites in the rhizomes of I. dichoto ma and to compare their contents in samples from different areas of China. Methodology HPLC coupled with diode‐array detection (DAD) and electrospray ionisation multistage mass spectrometry (ESI‐MS n ), and principal component analysis (PCA) were used for the qualitative and quantitative analysis of phenolic compounds in I. dichoto ma samples. Results Twenty characteristic compounds were identified or tentatively characterised. A quantitative HPLC‐UV method allowing the simultaneous quantification of 10 phenolic compounds was optimised and validated in terms of linearity, precision, accuracy, and limits of detection and quantification. Conclusion The methodology developed proved to be effective for the identification and quantification of phenolic compounds in the rhizomes of I. dichotoma . Samples were classified into three groups according to their geographical origin based on their phenolic composition using principal component analysis. Copyright © 2011 John Wiley & Sons, Ltd.