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采用RP-HPLC结合层次聚类分析对莲子心进行质量评价的定量及化学指纹图谱分析

Quantitative and chemical fingerprint analysis for the quality evaluation of Receptaculum Nelumbinis by RP-HPLC coupled with hierarchical clustering analysis.

作者信息

Wu Yan-Bin, Zheng Li-Jun, Yi Jun, Wu Jian-Guo, Chen Ti-Qiang, Wu Jin-Zhong

机构信息

Academy of Integrative Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China.

出版信息

Int J Mol Sci. 2013 Jan 21;14(1):1999-2010. doi: 10.3390/ijms14011999.

DOI:10.3390/ijms14011999
PMID:23337200
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3565361/
Abstract

A simple and reliable method of high-performance liquid chromatography with photodiode array detection (HPLC-DAD) was developed to evaluate the quality of Receptaculum Nelumbinis (dried receptacle of Nelumbo nucifera) through establishing chromatographic fingerprint and simultaneous determination of five flavonol glycosides, including hyperoside, isoquercitrin, quercetin-3-O-β-d-glucuronide, isorhamnetin-3-O-β-d-galactoside and syringetin-3-O-β-d-glucoside. In quantitative analysis, the five components showed good regression (R > 0.9998) within linear ranges, and their recoveries were in the range of 98.31%-100.32%. In the chromatographic fingerprint, twelve peaks were selected as the characteristic peaks to assess the similarities of different samples collected from different origins in China according to the State Food and Drug Administration (SFDA) requirements. Furthermore, hierarchical cluster analysis (HCA) was also applied to evaluate the variation of chemical components among different sources of Receptaculum Nelumbinis in China. This study indicated that the combination of quantitative and chromatographic fingerprint analysis can be readily utilized as a quality control method for Receptaculum Nelumbinis and its related traditional Chinese medicinal preparations.

摘要

建立了一种简单可靠的高效液相色谱-二极管阵列检测法(HPLC-DAD),通过建立色谱指纹图谱并同时测定金丝桃苷、异槲皮苷、槲皮素-3-O-β-D-葡萄糖醛酸苷、异鼠李素-3-O-β-D-半乳糖苷和紫丁香苷5种黄酮醇苷来评价莲子心(莲的干燥花托)的质量。在定量分析中,5种成分在其线性范围内均显示出良好的线性关系(R>0.9998),回收率在98.31%~100.32%之间。在色谱指纹图谱中,根据国家食品药品监督管理总局(SFDA)的要求,选取12个峰作为特征峰,以评价采自中国不同产地的不同样品的相似度。此外,还应用层次聚类分析(HCA)来评估中国不同来源莲子心中化学成分的差异。本研究表明,定量分析与色谱指纹图谱分析相结合可作为莲子心及其相关中药制剂质量控制的一种方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/768f/3565361/d536d9cfef71/ijms-14-01999f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/768f/3565361/3cbd336f6a5f/ijms-14-01999f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/768f/3565361/b0518a3be05e/ijms-14-01999f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/768f/3565361/3314c963df0d/ijms-14-01999f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/768f/3565361/d536d9cfef71/ijms-14-01999f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/768f/3565361/3cbd336f6a5f/ijms-14-01999f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/768f/3565361/b0518a3be05e/ijms-14-01999f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/768f/3565361/3314c963df0d/ijms-14-01999f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/768f/3565361/d536d9cfef71/ijms-14-01999f4.jpg

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