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Evaluation and discrimination of cortex Magnoliae officinalis produced in Zhejiang province (Wen-Hou-Po) by UPLC-DAD-TOF-MS fingerprint

机译:用UPLC-DAD-TOF-MS指纹图谱评估和鉴定浙江省(文侯埔)厚朴木皮

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摘要

An ultra performance liquid chromatography tandem TOF mass spectrometric (UPLC-DAD-TOF-MS) fingerprinting method was developed for the quality control and source discrimination of Cortex magnoliae officinalis produced in Zhejiang Province (Wen-Hou-Po). Twelve samples of Wen-Hou-Po collected from two species in five areas in Zhejiang Province of China were used to establish the fingerprint. Data were evaluated statistically using similarity analysis, hierarchical cluster analysis (HCA) and discriminant analysis (DA) in order to establish a similarity standard of fingerprint for quality control of Wen-Hou-Po, then to classify the Wen-Hou-Po samples and to identify key categorizing parameters. The similarity indexes were all above 0.95 between the reference chromatogram and that of each sample. By comparing the UV and MS data with those of the authentic standards and literature, nine main peaks in the fingerprints were identified. The result of hierarchical cluster analysis showed that the samples from two species in five areas could be divided into two distinct groups (the same as the groups of the samples divided by their species) based on their compositional fingerprints. A rapid and convenient discriminant function was then established to discriminate the species of unknown Wen-Hou-Po, and the cross validation result was 100%. In this study, the methods established are reliable, and could be used to evaluate the quality and to identify the species of Wen-Hou-Po in the future.
机译:开发了一种超高效液相色谱串联TOF质谱(UPLC-DAD-TOF-MS)指纹图谱方法,用于浙江省温文宝的厚朴的质量控制和来源鉴别。使用从中国浙江省五个地区的两个物种收集的十二份文厚宝样本建立指纹。使用相似性分析,层次聚类分析(HCA)和判别分析(DA)对数据进行统计学评估,以建立用于指纹识别的文库宝质量控制标准,然后对文库宝样本和识别关键分类参数。在参考色谱图和每个样品的色谱图之间,相似性指标均高于0.95。通过将UV和MS数据与真实标准品和文献进行比较,鉴定出了指纹中的9个主要峰。层次聚类分析的结果表明,来自五个区域的两个物种的样本可以根据它们的组成指纹分为两个不同的组(与样本组除以它们的物种相同)。然后建立了一种快速,方便的判别函数,以判别未知的文厚宝的种类,交叉验证的结果为100%。在这项研究中,所建立的方法是可靠的,并且可以用于将来评估文厚宝的质量和鉴定其种类。

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