天然产物研究与开发 ›› 2023, Vol. 35 ›› Issue (2): 200-207.doi: 10.16333/j.1001-6880.2023.2.003

• 研究论文 • 上一篇    下一篇

不同产地伏毛铁棒锤HPLC指纹图谱及4种生物碱含量测定

多杰措1,2,3，李彩霞1,2，许显莉1,2,3，宋文珠1,2，马世震1,2*   

  1. 1中国科学院西北高原生物研究所；2青海省青藏高原特色生物资源研究重点实验室，西宁 810008；3中国科学院大学，北京 100049
  • 出版日期:2023-02-28 发布日期:2023-03-02
  • 基金资助:
    中国科学院青海省人民政府三江源国家公园联合研究专项（LHZX-2020-09）

HPLC fingerprints analysis of Aconitum flavum Hand.-Mazz.from different areas and content determination of four alkaloids

DUO Jie-cuo1,2,3,LI Cai-xia1,2,XU Xian-li1,2,3,SONG Wen-zhu1,2,MA Shi-zhen1,2*   

  1. 1Northwest Institute of Plateau Biology,Chinese Academy of Sciences;2Qinghai Key Laboratory of Qinghai-Tibet Plateau Biological Resources,Xining 810008,China;3University of Chinese Academy of Sciences,Beijing 100049,China
  • Online:2023-02-28 Published:2023-03-02

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摘要：

建立伏毛铁棒锤的HPLC指纹图谱，并对4种生物碱成分进行含量测定，为不同产地伏毛铁棒锤药材质量评价提供参考。采用ACE excel C18 PFP（4.6 mm×250 mm，5 μm），以乙腈（A）-0.1%磷酸溶液（1 000 mL加2.5 mL三乙胺）（B）为流动相，梯度洗脱，流速1.0 mL/min，柱温35 ℃，检测波长215 nm，进样量10 μL。共标定了18个共有峰，指认了12-表欧乌头碱、宋果灵、乌头碱和3-乙酰乌头碱，质量分数分别为0.010 8~1.784 5、0.011 3~3.123 4、0.018 4~2.598 1、0.018 8~0.655 7 mg/g。聚类分析将15批样品分为4类，主成分分析筛选出了5个主成分，累计方差贡献率为82.549%，说明主成分能够综合伏毛铁棒锤药材成分的大部分信息。15批样品相似度范围在0.769~0.952，说明不同批次伏毛铁棒锤样品的差异性较大。该方法可以有效评价不同产地伏毛铁棒锤药材的质量差异，为其质量控制提供参考。

关键词: 伏毛铁棒锤, 指纹图谱, 聚类分析, 主成分分析, 含量测定

Abstract:

HPLC fingerprints of Aconitum flavum Hand.-Mazz.were established,and the contents of four alkaloids were determined to provide reference for the quality evaluation of A. flavum in different production areas.The analysis was performed on Ace excel C18 PFP (4.6 mm×250 mm,5 μm) with acetonitrile (A) -0.1% phosphoric acid solution (add 2.5 mL triethylamine per 1 000 mL) (B) as mobile phase in a gradient elution mode.The flow rate was 1.0 mL/min,the column temperature was 35 ℃,the detection wavelength was set at 215 nm and the injection volume was 10 μL.There were 18 common peaks in the HPLC chromatogram of 15 batches of A. flavum,among which the percentages of 12-epinapelline,songrine,aconitine and 3-acetylaconitine were as follows:0.010 8-1.784 5,0.011 3-3.123 4,0.018 4-2.598 1 and 0.018 8-0.655 7 mg/g.According to the cluster analysis,the 15 batches of A. flavum were classified into four categories,principal component analysis (PCA) screened out five principal components,with the cumulative variance contribution rate of 82.549%,indicating that the principal components contained most information of original data.The similarity of 15 batches of A. flavum ranged from 0.769 to 0.952,indicating that there was difference between batches of A. flavum.This method can effectively evaluate the quality difference of A. flavum from different producing areas,and provide reference for the quality control of medicinal materials.

Key words: Aconitum flavum Hand.-Mazz., fingerprint, cluster analysis, principal component analysis, content determination

中图分类号:  R282.1

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