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Rapid Characterization of Components in Bolbostemma paniculatum by UPLC/LTQ-Orbitrap MSn Analysis and Multivariate Statistical Analysis for Herb Discrimination

机译:通过UPLC / LTQ-orbitrap MSN分析和HERMIATIATER脱杆菌PANICULATUM组分的快速表征HARB辨别的多元统计分析

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摘要

Bolbostemma paniculatum is a traditional Chinese medicine (TCM) showed various therapeutic effects. Owing to its complex chemical composition, few investigations have acquired a comprehensive cognition for the chemical profiles of this herb and explicated the differences between samples collected from different places. In this study, a strategy based on UPLC tandem LTQ-Orbitrap MSn was established for characterizing chemical components of B. paniculatum. Through a systematic identification strategy, a total of 60 components in B. paniculatum were rapidly separated in 30 min and identified. Then based on peak intensities of all the characterized components, principle component analysis (PCA) and hierarchical cluster analysis (HCA) were employed to classify 18 batches of B. paniculatum into four groups, which were highly consistent with the four climate types of their original places. And five compounds were finally screened out as chemical markers to discriminate the internal quality of B. paniculatum. As the first study to systematically characterize the chemical components of B. paniculatum by UPLC-MSn, the above results could offer essential data for its pharmacological research. And the current strategy could provide useful reference for future investigations on discovery of important chemical constituents in TCM, as well as establishment of quality control and evaluation method.
机译:Bolbostemma Paniculatum是一种中药(TCM)表现出各种治疗效果。由于其复杂的化学成分,很少有调查已经获得了这种草本植物的化学分布的综合认知,并阐述了从不同地方收集的样品之间的差异。在该研究中,建立了一种基于UPLC串联LTQ-orbitrap MSN的策略,用于表征B. paniculatum的化学成分。通过系统的鉴定策略,B.Pariculatum共60个组分在30分钟内快速分离并鉴定。然后基于所有特征组分的峰值强度,使用原理分量分析(PCA)和分层聚类分析(HCA)将18批B.Paniculatum分类为四组,这与原始四种气候类型高度一致地方。最终筛选出五种化合物作为化学标志物,以区分B. Paniculatum的内部质量。作为第一种研究通过UPLC-MSN系统地表征B. Paniculatum的化学成分,上述结果可以为其药理研究提供必要的数据。而目前的策略可以为未来对中医的重要化学成分发现的未来调查提供有用的参考,以及建立质量控制和评价方法。

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