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首页> 外文期刊>Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis >Comparison of five Lonicera flowers by simultaneous determination of multi-components with single reference standard method and principal component analysis
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Comparison of five Lonicera flowers by simultaneous determination of multi-components with single reference standard method and principal component analysis

机译:用单个参考标准方法同时测定多组分和主成分分析的多组分的比较

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摘要

The flowers of Lonicera japonica Thunb. were extensively used to treat many diseases. As the demands for L. japonica increased, some related Lonicera plants were often confused or misused. Caffeoylquinic acids were always regarded as chemical markers in the quality control of L japonica, but they could be found in all Lonicera species. Thus, a simple and reliable method for the evaluation of different Lonicera flowers is necessary to be established. In this work a method based on single standard to determine multi-components (SSDMC) combined with principal component analysis (PCA) for control and distinguish of Lonicera species flowers have been developed. Six components including three caffeoylquinic acids and three iridoid glycosides were assayed simultaneously using chlorogenic acid as the reference standard. The credibility and feasibility of the SSDMC method were carefully validated and the results demonstrated that there were no remarkable differences compared with external standard method. Finally, a total of fifty-one batches covering five Lonicera species were analyzed and PCA was successfully applied to distinguish the Lonicera species. This strategy simplifies the processes in the quality control of multiple-componential herbal medicine which effectively adapted for improving the quality control of those herbs belonging to closely related species. (C) 2015 Elsevier B.V. All rights reserved.
机译:Lonicera japonica thunb的花朵。广泛用于治疗许多疾病。随着对粳稻的需求增加,一些相关的Lonicera植物通常会混淆或滥用。咖啡酰基酸总是被认为是L粳稻质量控制中的化学标志物,但它们可以在所有金发仑种类中找到。因此,需要建立一种简单可靠的对不同液体花朵评估的方法。在这项工作中,已经开发了一种基于单个标准来确定多分量(SSDMC)与主成分分析(PCA)进行控制和区分LINONA物种花的方法。使用绿原酸作为参考标准,同时测定包括三种咖啡丙烯酸和三种甘油氨基酸和三种氧化氢糖苷的组分。仔细验证了SSDMC方法的可信度和可行性,结果表明,与外标法相比没有显着差异。最后,分析了覆盖了五种含有五种Lonicera物种的五十一批,并成功地应用了PCA以区分液体物种。该策略简化了多重成分草药质量控制中的过程,这些方法有效适用于改善属于密切相关物种的那些草药的质量控制。 (c)2015 Elsevier B.v.保留所有权利。

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