不同基原大黄指纹图谱、多成分定量结合多元统计分析的质量评价研究

Study on Quality Evaluation of Different Origins of Rhei Radix et Rhizoma Based on Multivariate Statistical Analysis of Fingerprints and Multi-Component Quantitative Analysis

  • 摘要:
      目的   建立3种基原大黄(掌叶大黄、药用大黄、唐古特大黄)指纹图谱和多成分含量测定方法。
      方法   采用UPLC法同时测定51批大黄指纹图谱及14个化学成分含量,并通过指纹图谱相似度分析、聚类分析、主成分分析(PCA)和偏最小二乘法判别分析(PLS-DA)对不同基原大黄药材进行全面质量评价。
      结果   建立了3种基原大黄的指纹图谱,确定了18个共有峰,并指认了14个化学成分;相似度评价结果显示,3种基原大黄相似度存在一定差异,但部分药用大黄与掌叶大黄相似度较高,聚类分析与相似度评价结果一致。通过PCA提取了4个主成分,累积方差贡献率达85.823%;PLS-DA可用于大黄的基原识别,并筛选出6个差异性成分。
      结论  建立的方法简便、可靠,为不同基原大黄药材的质量控制和鉴别提供可靠的分析方法。

     

    Abstract: OBJECTIVE   To establish the UPLC fingerprints of 3 origins of Rhei Radix et Rhizoma and determine multi-component content.METHODS   The fingerprints of 51 batches of Rhei Radix et Rhizoma were established and 14 chemical contents were determined based on UPLC method. The similarity evaluation, cluster analysis, principal component analysis and orthogonal partial least squares discrimination analysis were performed to evaluate the quality of different origins of Rhei Radix et Rhizoma comprehensively.RESULTS   The fingerprints of three origins of Rhei Radix et Rhizoma were established. 18 common peaks and 14 chemical components were identified. The result of the similarity evaluation showed that there were some differences among three origins of Rhei Radix et Rhizoma, however, Rheum officinale Baill. and Rheum palmatum L. were similar in a way. The result of the cluster analysis was consistent with the similarity evaluation. The principal component analysis showed that 4 principal components were extracted, and the cumulative variance contribution were up to 85.823%. Partial least squares discriminant analysis was used to identify different origins of Rhei Radix et Rhizoma, which screened 6 varied components.CONCLUSION   The method established in this experiment is simple and reliable, and provides reliable analytical methods for the quality control and origins identification of Rhei Radix et Rhizoma.

     

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