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Comparative Metabolite Profiling of Wild and Cultivated Licorice Based on Ultra-Fast Liquid Chromatography Coupled with Triple Quadrupole-Time of Flight Tandem Mass Spectrometry

机译:基于超快速液相色谱法的野生栽培甘草的比较代谢物分析与三重四极其串联质谱法相结合

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摘要

Licorice is one of the ancient and most frequently applied herbs for its diverse phytochemicals. At present, wild resources of licorice have rapidly declined with increasing demand and the proportion of cultivated products in the market is quickly growing. However, the different level in chemical composition between the wild and cultivated licorice may result in the discrepancy in quality and pharmacological activity. Therefore, an ultra-fast liquid chromatography coupled with triple quadrupole-time of flight tandem mass spectrometry (UFLC-Triple TOF-MS/MS) method combined with multivariate statistical analysis technology was employed to explore chemical composition differences. The result showed that total 63 components were identified from licorice samples. The wild and the cultivated licorice are obviously classified into two groups according to principal component analysis (PCA). PCA and partial least squared discrimination analysis (PLS-DA) were also introduced to rapidly find 14 candidate compounds between two ecotypes of licorice. Apart from glycyrrhizin, licorice saponin J2/G2, glyasperin D and dehydroglyasperin D also could be selected as chemical markers based on t-test and variable importance in the projection (VIP) value. Our study successfully established an effective method for exploring metabolite profiling between two ecotypes of licorice and laying the foundation for distinguishing wild and cultivated licorice.
机译:甘草是古老而最常用的草药之一,为其多样化的植物化学物质。目前,随着需求的不断增长,市场上栽培产品的比例迅速增长,甘草的野生资源迅速下降。然而,野生和培养甘草之间的化学成分水平的不同可能导致质量和药理活性差异。因此,采用超快速液相色谱与飞行串联质谱(UFLC-Triple-Tof-MS / MS)方法与多变量统计分析技术合并的三重四极杆 - 时间偶联,探讨化学成分差异。结果表明,从甘草样品中鉴定了总共63个组分。根据主要成分分析(PCA),野生和栽培甘草明显分为两组。还引入了PCA和部分最小二乘辨别分析(PLS-DA)以快速发现甘草两种生态型之间的14种候选化合物。除了Glycyrrhizin,甘草皂苷J2 / G2,Glyasperin D和Dehydroglyasporin D还可以根据T-Test(VIP)值的T-Test和可变重要性选择化学标志。我们的研究成功地建立了探索甘草两种生态型和野生和培养甘草的基础的探索代谢物分析的有效方法。

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