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Molecules 2017, 22(12), 2122; doi:10.3390/molecules22122122

Comparative Evaluation of Chemical Profiles of Pyrrosiae Folium Originating from Three Pyrrosia Species by HPLC-DAD Combined with Multivariate Statistical Analysis

1
Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China
2
Department of Conservation Center of Medicinal Plants, Guangxi Key Laboratory of Medicinal Resources Conservation and Genetic Improvement, Guangxi Botanical Garden of Medicinal Plants, Nanning 530023, China
3
State Key Laboratory of Chinese Medicine and Molecular Pharmacology (Incubation), The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China
4
Shenzhen Pharmcists Association, Shenzhen 518024, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 6 November 2017 / Revised: 29 November 2017 / Accepted: 30 November 2017 / Published: 1 December 2017
(This article belongs to the Section Natural Products)
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Abstract

Pyrrosiae Folium (PF) is a commonly used Chinese herb medicine originating from three Pyrrosia species for the treatment of urinary infection and urolithiasis. According to Chinese medicine practice, different specie origins led to some variations in the therapeutic effects of PF. To ensure the safety and efficacy of PF in clinical practice, it is necessary to establish a reliable and integrative method to distinguish PF occurring from the three species. In the present paper, a HPLC–DAD method was developed and applied to simultaneously analyze five major compounds in PF. Afterwards, multivariate statistical analyses including principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were applied for specie discrimination and integrative quality evaluation based on quantitative data. The chemical determination and pattern recognition results of 35 batches of PF samples indicated that PF samples from three species showed different chemical profiles and could be discriminated clearly. In conclusion, the present method is rapid and reliable for the quality assessment and species discrimination of PF. View Full-Text
Keywords: Pyrrosiae Folium; HPLC-DAD; Pyrrosia; multivariate statistical analysis; principal component analysis; partial least squares discriminant analysis Pyrrosiae Folium; HPLC-DAD; Pyrrosia; multivariate statistical analysis; principal component analysis; partial least squares discriminant analysis
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Xiao, W.; Peng, Y.; Tan, Z.; Lv, Q.; Chan, C.-O.; Yang, J.; Chen, S. Comparative Evaluation of Chemical Profiles of Pyrrosiae Folium Originating from Three Pyrrosia Species by HPLC-DAD Combined with Multivariate Statistical Analysis. Molecules 2017, 22, 2122.

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