کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4512499 1624825 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Analysis of the HPLC fingerprint and QAMS from Pyrrosia species
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم زراعت و اصلاح نباتات
پیش نمایش صفحه اول مقاله
Analysis of the HPLC fingerprint and QAMS from Pyrrosia species
چکیده انگلیسی


• Analysis of the HPLC fingerprint and QAMS from Pyrrosia species.
• Similarity analysis, hierarchical cluster analysis (HCA) and principal component analysis (PCA) were applied to identification of the Pyrrosia origins.
• The quantitative analysis multi-components by single marker (QAMS) method was demonstrated to be feasible and it was applied to evaluation the quality of Pyrrosia materials.

An effective and comprehensive evaluation method for identifying the origin and assessing the quality of Pyrrosiae Folium has been established, based on analysis of high performance liquid chromatography (HPLC) fingerprint combined with the similarity analysis, hierarchical cluster analysis (HCA), principal component analysis (PCA) and the quantitative analysis multi-components by single marker (QAMS) method. 20 peaks of the common model were collected and used for the similarity analysis, HCA, PCA and QAMS analysis. These methods drew a similar conclusion that 42 Pyrrosia samples were categorized into three groups by HCA and PCA, and the majority of the samples with similar ingredients were mainly concentrated in the areas of Shanxi, Guangxi and Sichuan provinces. When QAMS method was compared with the external standard method (ESM), it was feasible to evaluate the quality of Pyrrosia herbals by the values of relative correction factors (RCFs) from chlorogenic acid (the internal standard) versus mangiferin, rutin and kaempferol. In conclusion, these methods were successfully applied to identification of the herbs origin and evaluation the quality of Pyrrosia materials. Therefore, these evaluation methods are promising to be widely applied in the quality control of Traditional Chinese Medicines (TCMs).

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Industrial Crops and Products - Volume 85, July 2016, Pages 29–37
نویسندگان
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