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三种犁头草属植物犁头蕨叶的化学成分比较评价研究。

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

机构信息

Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China.

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.

出版信息

Molecules. 2017 Dec 1;22(12):2122. doi: 10.3390/molecules22122122.

DOI:10.3390/molecules22122122
PMID:29194397
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6150016/
Abstract

Pyrrosiae Folium (PF) is a commonly used Chinese herb medicine originating from three 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.

摘要

翻白草(PF)是一种常用的中草药,来源于三种植物,用于治疗尿路感染和尿路结石。根据中医的实践,不同种源导致 PF 的治疗效果存在一些差异。为了确保 PF 在临床实践中的安全性和有效性,有必要建立一种可靠的综合方法来区分来自这三种植物的 PF。本文建立了一种 HPLC-DAD 方法,用于同时分析 PF 中的五种主要化合物。然后,应用多元统计分析,包括主成分分析(PCA)和偏最小二乘判别分析(PLS-DA),基于定量数据进行种间鉴别和综合质量评价。35 批 PF 样品的化学测定和模式识别结果表明,三种植物来源的 PF 样品具有不同的化学成分,能够清晰区分。总之,该方法快速可靠,可用于 PF 的质量评估和种间鉴别。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7027/6150016/89e07c020166/molecules-22-02122-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7027/6150016/d2c65a5b62c4/molecules-22-02122-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7027/6150016/83988ec03896/molecules-22-02122-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7027/6150016/8eb2d1f20ff3/molecules-22-02122-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7027/6150016/d8791bd2b4bf/molecules-22-02122-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7027/6150016/89e07c020166/molecules-22-02122-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7027/6150016/d2c65a5b62c4/molecules-22-02122-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7027/6150016/83988ec03896/molecules-22-02122-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7027/6150016/8eb2d1f20ff3/molecules-22-02122-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7027/6150016/d8791bd2b4bf/molecules-22-02122-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7027/6150016/89e07c020166/molecules-22-02122-g005.jpg

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