首页> 外文期刊>Journal of Ginseng Research >Metabolomic approach for discrimination of processed ginseng genus (Panax ginseng and Panax quinquefolius) using UPLC-QTOF MS
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Metabolomic approach for discrimination of processed ginseng genus (Panax ginseng and Panax quinquefolius) using UPLC-QTOF MS

机译:使用UPLC-QTOF MS的代谢组学方法鉴别已加工人参属(Panax人参和西洋参)

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Discriminating between two herbal medicines ( Panax ginseng and Panax quinquefolius ), with similar chemical and physical properties but different therapeutic effects, is a very serious and difficult problem. Differentiation between two processed ginseng genera is even more difficult because the characteristics of their appearance are very similar. An ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF MS)-based metabolomic technique was applied for the metabolite profiling of 40 processed P.?ginseng and processed P.?quinquefolius . Currently known biomarkers such as ginsenoside Rf and F11 have been used for the analysis using the UPLC-photodiode array detector. However, this method was not able to fully discriminate between the two processed ginseng genera. Thus, an optimized UPLC-QTOF-based metabolic profiling method was adapted for the analysis and evaluation of two processed ginseng genera. As a result, all known biomarkers were identified by the proposed metabolomics, and additional potential biomarkers were extracted from the huge amounts of global analysis data. Therefore, it is expected that such metabolomics techniques would be widely applied to the ginseng research field. Keywords: discrimination, metabolomics, Panax ginseng , Panax quinquefolius , UPLC-QTOF MS.
机译:区分具有相似的化学和物理特性但具有不同治疗效果的两种草药(人参和西洋参)是一个非常严重且困难的问题。两种已加工人参属之间的区分甚至更加困难,因为它们的外观特征非常相似。基于超高效液相色谱-四极杆飞行时间质谱(UPLC-QTOF MS)的代谢组学技术被用于40种加工的人参和西洋参的代谢产物谱分析。目前已知的人参皂苷Rf和F11等生物标志物已用于使用UPLC-光电二极管阵列检测器进行分析。但是,这种方法不能完全区分两个加工的人参属。因此,一种优化的基于UPLC-QTOF的代谢谱分析方法适用于两个加工人参属的分析和评估。结果,通过拟议的代谢组学鉴定了所有已知的生物标志物,并从大量的全球分析数据中提取了其他潜在的生物标志物。因此,期望这种代谢组学技术将被广泛应用于人参研究领域。关键词:鉴别,代谢组学,人参,西洋参,UPLC-QTOF MS。

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