刘玉峰, 杨秀伟. 款冬花药材的HPLC化学成分指纹图谱研究J. 药学学报, 2009,44(5): 510-514.
引用本文: 刘玉峰, 杨秀伟. 款冬花药材的HPLC化学成分指纹图谱研究J. 药学学报, 2009,44(5): 510-514.
LIU Yu-Feng, YANG Xiu-Wei. HPLC fingerprint of chemical constituents of Flos FarfaraeJ. 药学学报, 2009,44(5): 510-514.
Citation: LIU Yu-Feng, YANG Xiu-Wei. HPLC fingerprint of chemical constituents of Flos FarfaraeJ. 药学学报, 2009,44(5): 510-514.

款冬花药材的HPLC化学成分指纹图谱研究

HPLC fingerprint of chemical constituents of Flos Farfarae

  • 摘要:

    建立款冬花药材的高效液相色谱(HPLC)化学成分指纹图谱,为科学评价其质量提供可靠方法。建立了不同产地和/或商品药材款冬花的HPLC指纹图谱;测定了10批款冬花样品,指纹图谱有25个共有色谱峰,并指认了16个。对各产地药材指纹图谱进行聚类分析,根据聚类分析结果将款冬花样品分为2类,选定第26批样品建立共有模式,并应用“中药色谱指纹图谱相似度评价系统(2004B版)”对各产地药材进行了评价。所建立款冬花的指纹图谱特征性和专属性强,方法简便、可靠,可定性用于全面控制款冬花的质量。

     

    Abstract:

    This paper is aimed to establish the method of fingerprint analysis of chemical constituents by  reversed-phase high-performance liquid chromatographic (HPLC) with diode array detector (DAD) for the  quality control of the flower buds of Tussilago farfara L. (Flos Farfarae).  The method was performed on a Dikma DiamonsilTM C18 column (250 mm × 4.6 mm ID, 5 μm) with a mixed mobile phase of 0.03% trifluoroacetic acid solution and acetonitrile in a gradient mode.  The flow rate was 1.0 mL·min-1 and the wavelength of  measurement was 240 nm.  Ten batches of the Flos Farfarae were determined.  The HPLC chromatographic fingerprint of chemical constituents was established from the 10 batches of the Flos Farfarae and showed 25 characteristic common peaks, among which 16 peaks were recognized and 18 compounds (adenosine, uridine, gallic acid, 3-O-caffeoylquinic acid, p-hydroxybenzoic acid, trans-caffeic acid, phthalic acid, rutin, hyperoside, 3,5-O-dicaffeoylquinic acid, kaempferol-3-O-β-D-glucopyranoside, isoferulic acid, ferulic acid, quercetin, 2,2-dimethyl-6-acetyl chromanone, dibutylphthalate, tussilagone, 7β-(3'-ethylcrotonoyloxy)-1α-(2'-methyl-   butyryloxy)-3,14-dehydro-E-notonipetranone) were determined by comparison with chromatographic behaviors and UV spectra of the authentic compounds.  The 10 batches of samples were classified as 2 clusters by cluster analysis and 6 samples were confirmed to establish the mutual model.  The samples’ quality was assessed by Similarity Evaluation System for Chromatographic Fingerprint of TCM (2004 B version).  The convenient and high specific method can be used to identify and evaluate the quality of the Flos Farfarae.

     

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