基于物理、化学指纹图谱及多成分含量测定构建养肝降草汤质量评价方法

    Quality Evaluation of Yanggan Jiangcao Decoction Based on Physical and Chemical Fingerprints and Multi-component Content Determination

    • 摘要:
      目的 建立15批养肝降草汤的物理、化学指纹图谱,并对其7种指标成分进行含量测定,采用“物理指纹图谱+化学指纹图谱+含量测定”评价体系全面表征该汤剂的整体质量。
      方法 制备15批养肝降草汤,以动力黏度、折光率、电导率、溶解性固体总量、固含量、密度及pH值7个物理参数构建物理指纹图谱,并利用相似度评价、层次聚类分析(hierarchical cluster analysis,HCA)及主成分分析对物理指纹图谱进行化学模式识别分析;通过HPLC对红景天苷、栀子苷、连翘酯苷A、新橙皮苷、黄芩苷、甘草酸、白术内酯Ⅲ7种指标成分进行含量测定并构建化学指纹图谱,结合物理指纹图谱综合评价汤剂的整体质量。
      结果 15批汤剂物理指纹图谱之间相似度>0.89, HCA结果显示,15批汤剂聚为2类;化学指纹图谱中15批汤剂与对照图谱相比相似度均>0.90; 15批汤剂中7种指标成分含量为红景天苷0.2084~0.2537 mg∙g−1、栀子苷2.0304~2.4263 mg∙g−1、连翘酯苷A 0.7746~0.9501 mg∙g−1、新橙皮苷0.758 1~1.239 2 mg∙g−1、黄芩苷4.777 2~5.9415 mg∙g−1、甘草酸0.1478~0.2348 mg∙g−1、白术内酯Ⅲ0.0079~0.0166 mg∙g−1;含量HCA结果显示,除批次BZTJ5外,其余批次与物理指纹图谱HCA结果一致。
      结论 养肝降草汤的物理参数与化学成分具有相关性,可以将物理指纹图谱与化学指纹图谱相结合,从而更全面的评价养肝降草汤的整体质量。

       

      Abstract:
      OBJECTIVE To establish the physical and chemical fingerprints of 15 batches of Yanggan Jiangcao decoction, and to determine the content of 7 index components, a comprehensive evaluation system integrating “physical fingerprints+chemical fingerprints+content determination” is employed to fully characterize the overall quality of the decoction.
      METHODS Fifteen batches of decoction were prepared, and the physical fingerprint was constructed with 7 physical parameters, including dynamic viscosity, refractive index, conductivity, total dissolved solids, solid content, density and pH value. The chemical pattern recognition analysis of the physical fingerprint was carried out by similarity evaluation, hierarchical cluster analysis(HCA) and principal component analysis. The contents of salidroside, geniposide, forsythoside A, neohesperidin, baicalin, glycyrrhizic acid and atractylenolide Ⅲ were determined by HPLC and the chemical fingerprint was constructed. Combined with the physical fingerprint, the overall quality of the decoction was comprehensively evaluated.
      RESULTS The similarity between the physical fingerprints of 15 batches of decoction was >0.89, and the results of HCA showed that the 15 batches of decoction were clustered into two categories. In the chemical fingerprint, the similarity of the 15 batches of decoction was >0.90 compared with the control spectrum. The content of 7 index ingredients in 15 batches of decoction were salidroside 0.20840.2537 mg∙g−1, geniposide 2.03042.4263 mg∙g−1, forsythoside A 0.77460.9501 mg∙g−1, neohesperidin 0.75811.2392 mg∙g−1,baicalin 4.77725.9415 mg∙g−1, glycyrrhizic acid 0.14780.2348 mg∙g−1and atractylenolide Ⅲ 0.00790.0166 mg∙g−1. Except for batch BZTJ5, the HCA results based on content determination showed consistency with those derived from physical fingerprint analysis.
      CONCLUSION The results show that the physical parameters of the Yanggan Jiangcao decoction are correlated with the chemical composition, and the physical fingerprint and chemical fingerprint can be combined to more accurately grasp the overall quality of the Yanggan Jiangcao decoction.

       

    /

    返回文章
    返回