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基于高效液相色谱-四极杆飞行时间串联质谱的黄酮苷元导向数据挖掘:在黄芩中黄酮类成分的高效靶向分析。

Flavonoid aglycone-oriented data-mining in high-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry: efficient and targeted profiling of flavonoids in Scutellaria barbata.

机构信息

Key Laboratory of Hunan Province for Water Environment and Agriculture Product Safety, College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, Hunan, China.

Department of Clinical Pharmacology, Xiangya Hospital; Hunan Key Laboratory of Pharmacogenetics, Central South University, Changsha, 410078, Hunan, China.

出版信息

Anal Bioanal Chem. 2020 Jan;412(2):321-333. doi: 10.1007/s00216-019-02238-7. Epub 2019 Nov 30.

Abstract

The high-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (HPLC-QTOF-MS/MS) technique is a powerful tool for compound identification in complex natural products. However, untargeted MS/MS data analysis needs skillful experience and sometimes neglects minor compounds, which are co-eluted with major ones or overshadowed by the matrix. Flavonoids are the main bioactive components in Scutellaria barbata, and the total flavonoid content is 47.02 ± 3.23 mg QE/g DW. Although some flavonoid aglycones and their O-glycosides have been found in S. barbata, comprehensive profiling of flavonoids is unknown. Therefore, we report a flavonoid aglycone-oriented data-mining strategy for efficient and targeted profiling of flavonoids in S. barbata. The strategy includes four steps: (1) HPLC-QTOF-MS analysis of S. barbata; (2) construction of a flavonoid aglycone-based database according to biosynthetic pathway analysis and reported data; (3) extraction of through flavonoid aglycone-based ion chromatography; (4) identification of targeted flavonoids by MS/MS analysis. As a result, 45 flavonoids, including 24 flavones, 1 flavonol, 13 flavanones, and 7 flavanonols, were unambiguously or tentatively identified, while 20 of them were reported in S. barbata for the first time. Moreover, 14 available flavonoids were sensitively, precisely, and accurately determined by standard calibration curves, with limit of detection at 0.06 to 1.55 μg/g, limit of quantification at 0.16 to 3.70 μg/g, relative standard deviation (RSD) less than 9.0% for intra- and inter-day variations, and recovery at 92.6-108.1%. The matrix did not obviously suppress or enhance the ionization of 14 flavonoids, and finally their contents ranging from 0.04 to 4.49 mg/g in S. barbata were successfully achieved. Collectively, our results demonstrate that an efficient, reliable, and valuable strategy has been provided to rapidly and sensitively screen, profile, and quantify chemical components of complex natural products. Graphical abstract.

摘要

高效液相色谱-四极杆飞行时间串联质谱(HPLC-QTOF-MS/MS)技术是鉴定复杂天然产物中化合物的有力工具。然而,非靶向 MS/MS 数据分析需要熟练的经验,有时会忽略与主要化合物共洗脱或被基质掩盖的次要化合物。黄酮类化合物是黄芩中的主要生物活性成分,总黄酮含量为 47.02±3.23mgQE/gDW。虽然已经在黄芩中发现了一些黄酮苷元和它们的 O-糖苷,但黄酮类化合物的综合分析情况尚不清楚。因此,我们报告了一种基于黄酮苷元的数据挖掘策略,用于高效、有针对性地分析黄芩中的黄酮类化合物。该策略包括四个步骤:(1)黄芩的 HPLC-QTOF-MS 分析;(2)根据生物合成途径分析和已报道的数据构建基于黄酮苷元的数据库;(3)通过基于黄酮苷元的离子色谱提取;(4)通过 MS/MS 分析鉴定靶向黄酮类化合物。结果, unambiguously 或 tentatively 鉴定出 45 种黄酮类化合物,包括 24 种黄酮、1 种黄酮醇、13 种二氢黄酮、7 种黄烷酮,其中 20 种在黄芩中首次报道。此外,通过标准校准曲线,14 种可用的黄酮类化合物能够进行灵敏、精确和准确的测定,检测限为 0.06-1.55μg/g,定量限为 0.16-3.70μg/g,日内和日间变异的相对标准偏差(RSD)小于 9.0%,回收率为 92.6-108.1%。基质没有明显抑制或增强 14 种黄酮类化合物的电离,最终成功测定黄芩中 0.04-4.49mg/g 的含量。总的来说,我们的结果表明,已经提供了一种高效、可靠和有价值的策略,用于快速、灵敏地筛选、分析和定量复杂天然产物中的化学物质。

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