基于UPLC-Q-Orbitrap HRMS代谢组学技术对陕产黄精根茎和叶化学成分研究

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中文摘要：目的:分析陕产黄精根茎和叶中化学成分的差异.方法:采用超高效液相色谱-四级杆/静电场轨道阱高分辨质谱(UPLC-Q-Orbitrap HRMS)法检测陕产黄精根茎和叶的化学成分,所得数据采用主成分分析(PCA)法与正交偏最小二乘判别分析(OPLS-DA)处理,陕产黄精根茎和叶的差异指标成分,通过精准的一级质谱质荷比和二级质谱碎片离子,同对照品图谱和软件数据库搜索,以及相关文献报道成分进行判别分析.结果:共鉴定得到45个成分,通过OPLS-DA,筛选出根茎和叶之间差异性化学成分26个,包括氨基酸类10个,黄酮类6个,有机酸类3个,糖类2个,香豆素类1个,生物碱类4个.结论:陕产黄精氨基酸类、有机酸类、生物碱类差异成分主要分布于根茎部,而黄酮类差异成分主要集中于叶部,为陕产黄精资源的综合利用提供了理论依据.

外文标题：Application of metabolomics approach to study on chemical constituents in rhizomes and leaves of Polygonatum sibiricum from Shaanxi Province based on UPLC-Q-Orbitrap HRMS

外文摘要：Objective:To analyze the difference of chemical constituents in rhizomes and leaves of Polygonatum sibiricum from Shaanxi Province.Methods:Ultra-high performance liquid chromatography-quadrupole/electro-static field orbitrap high resolution mass spectrometry(UPLC-Q-Orbitrap HRMS)was developed to determine the chemical constituents in rhizomes and leaves of Polygonatum sibiricum from Shaanxi Province.The data were analyzed by principal component analysis(PCA)and orthogonal partial least squares discriminant analysis(OPLS-DA).The structures of chemical markers in rhizomes and leaves of Polygonatum sibiricum were identi-fied based on accurate primary mass spectrometry and secondary mass spectrometry fragment ion,combined with the reference map,software database searching and related literature.Results:A total of 45 compounds were identified,there were 26 chemical ingredients with significant differences distinguished by the method of OPLS-DA,including 10 amino acids,6 flavonoids,3 organic acids,2 saccharides,1 coumarin and 4 alkaloids.Conclusion:The chemical markers of amino acids,organic acids and alkaloids are mainly distributed in rhizo-mes,and the chemical markers of flavonoids are mainly concentrated in leaves part of the plant.It is suggested that the potential multiple utilization of rhizomes and leaves of Polygonatum sibiricum from Shaanxi Province.

外文关键词：

Polygonati Rhizomarhizomesleavesplant metabolomicspotential markerprincipal component analysis(PCA)orthogonal partial least squares discriminant analysis(OPLS-DA)UPLC-Q-Orbitrap HRMS

作者：

宋艺君、郭涛、梁玉莹、管庚宸、高阳丽

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作者单位：

陕西中医药大学药学院,咸阳 712046

陕西省中药饮片工程技术研究中心,咸阳 712046

空军第九八六医院,西安 710054

关键词：

黄精根茎叶植物代谢组学差异指标成分主成分分析正交偏最小二乘判别分析超高效液相色谱-四级杆/静电场轨道阱高分辨质谱

基金：

国家自然科学基金陕西省科技厅项目陕西省高水平中医药重点学科项目

项目编号：

821043952024SF-YBXM-456174010324027/2024

出版年：

2024

DOI：

10.16155/j.0254-1793.2024-0015

药物分析杂志

中国药学会

药物分析杂志

CSTPCD北大核心

影响因子：1.039

ISSN：0254-1793

年,卷(期)：2024.44(8)