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采用数据库亲和力超高效液相色谱-四极杆轨道阱串联质谱法同时定量分析 41 种叶类药材的抗氧化质量标志物。

Simultaneous Qualitative and Quantitative Analyses of 41 Constituents in Leaves Screen Antioxidant Quality-Markers Using Database-Affinity Ultra-High-Performance Liquid Chromatography with Quadrupole Orbitrap Tandem Mass Spectrometry.

机构信息

College of Pharmacy, Gansu Medical University, Pingliang 744000, China.

School of Chinese Herbal Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.

出版信息

Molecules. 2024 Oct 15;29(20):4886. doi: 10.3390/molecules29204886.

Abstract

To date, no study has focused on leaves with various traditional efficiencies. This paper therefore applied a database affinity ultra-high-performance liquid chromatography with quadrupole Orbitrap tandem mass spectrometry (UHPLC-Q-Orbitrap-MS/MS) strategy to analyze the lyophilized aqueous extract of leaves. Through database comparison and MS fragment elucidation, this study has putatively identified 41 constituents belonging to flavonoid, phenolic acid, steroid, and saccharide natural product classifications. Significantly, four groups of isomers (liquiritigenin vs. isoliquiritigenin vs. pinocembrin; oroxylin A vs. wogonin vs. galangin 3-methyl ether; isoquercitrin vs. hyperoside; protocatechuic acid vs. 2,5-dihydroxybenzoic acid) have been successfully distinguished from each other. All of 41 constituents were then subjected to a quantitative analysis based on linear regression equation established by the above UHPLC-Q-Orbitrap-MS/MS strategy and an ABTS-scavenging antioxidant assay. Finally, the chemical content was multiplied by the corresponding ABTS-scavenging percentage to calculate the antioxidant contribution. It was shown that the chemical contents of 41 constituents varied from 0.003 ± 0.000 to 14.418 ± 1.041 mg/g, and gallic acid showed the highest antioxidant contribution. Gallic acid is considered as a suitable antioxidant quality-marker (Q-marker) of leaves. These findings have scientific implications for the resource development and quality control of leaves.

摘要

迄今为止,尚无研究关注具有各种传统功效的 叶。因此,本研究采用数据库亲和力超高效液相色谱-四极杆轨道阱串联质谱(UHPLC-Q-Orbitrap-MS/MS)策略分析了 叶的冻干水提物。通过数据库比较和 MS 碎片解析,本研究推测鉴定出 41 种成分,属于黄酮类、酚酸类、甾体和糖苷天然产物分类。值得注意的是,成功区分了四组同分异构体(甘草素与异甘草素与芹糖基甘草素;或木香酸与汉黄芩素与高良姜素 3-甲醚;异槲皮苷与槲皮苷;原儿茶酸与 2,5-二羟基苯甲酸)。然后,将 41 种成分全部基于上述 UHPLC-Q-Orbitrap-MS/MS 策略和 ABTS 清除抗氧化测定建立的线性回归方程进行定量分析。最后,将化学含量乘以相应的 ABTS 清除率来计算抗氧化贡献。结果表明,41 种成分的化学含量从 0.003±0.000 至 14.418±1.041mg/g 不等,没食子酸的抗氧化贡献最高。没食子酸被认为是 叶的合适抗氧化质量标志物(Q-标志物)。这些发现对 叶的资源开发和质量控制具有科学意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98f7/11510267/f5ab63df110d/molecules-29-04886-g001.jpg

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