...
首页> 外文期刊>Archives of pharmacal research >Species classification and quality assessment of Chaihu (Radix Bupleuri) based on high-performance liquid chromatographic fingerprint and combined chemometrics methods.
【24h】

Species classification and quality assessment of Chaihu (Radix Bupleuri) based on high-performance liquid chromatographic fingerprint and combined chemometrics methods.

机译:基于高效液相色谱指纹图谱和化学计量学相结合的柴胡物种分类和质量评估。

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

A high-performance liquid chromatographic (HPLC) method was established to analyze 36 Chaihu (Radix Bupleuri) samples collected from three species (Bupleurum chinense DC., B. scorzonerifolium Willd. and B. smithii Wolff.). Addition of trifluoroacetic acid into the mobile phase resulted in fingerprint chromatograms with stable baselines. There were thirty-two characteristic peaks in the standard fingerprint of B. chinense DC. Different recognition pattern methods, including similarity analysis (SA), hierarchical cluster analysis (HCA), principal component analysis (PCA) and partial least squares-discrimination analysis (PLS-DA) were utilized to analyze the 36 samples based on the contents of chemical constituents. Consistent results from SA, HCA and PCA analysis illustrated the rationalisation for why B. smithii Wolff. was not quoted in the Chinese Pharmacopoeia and classified samples were in agreement with their species. PLS-DA loading plots showed the chemical markers which had the most influences on the separation among different species. However, SA, HCA and PCA could not differentiate between wild and cultivated B. chinense DC. as well as between samples from different provinces. HPLC fingerprint in combination with chemometric techniques provided a very flexible and reliable method for homogeneity evaluation and quality assessment of traditional Chinese medicine.
机译:建立了一种高效液相色谱(HPLC)方法,以分析从3种物种(Bupleurum chinense DC。,B。scorzonerifolium Willd。和B. smithii Wolff。)采集的36个Chaihu(Radix Bupleuri)样品。在流动相中添加三氟乙酸会产生具有稳定基线的指纹图谱。 B. chinense DC的标准指纹图中有32个特征峰。根据化学成分,利用相似度分析(SA),层次聚类分析(HCA),主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)等不同的识别模式方法对36个样品进行分析。成分。 SA,HCA和PCA分析的一致结果说明了B. smithii Wolff为何合理。在《中国药典》中未引用,并且分类的样品与其种类一致。 PLS-DA加载图显示了对不同物种之间的分离影响最大的化学标记。但是,SA,HCA和PCA不能区分野生和栽培的B. chinense DC。以及不同省份的样本之间。 HPLC指纹图谱结合化学计量学技术为中药同质性评估和质量评估提供了一种非常灵活而可靠的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号