天然产物研究与开发 ›› 2023, Vol. 35 ›› Issue (6): 949-965.doi: 10.16333/j.1001-6880.2023.6.004

• 研究论文 • 上一篇    下一篇

基于UPLC-Q-TOF-MS/MS的芒果核化学成分分析

武俊颖1,张武岗2,郎一帆1,黄智超1,杨武亮1,杨   婕2*,陈海芳1*   

  1. 1江西中医药大学现代中药制剂教育部重点实验室;2江西中医药大学中药固体制剂制造技术国家工程研究中心,南昌 330004
  • 出版日期:2023-06-28 发布日期:2023-06-28
  • 基金资助:
    江西省自然科学基金重点项目(20224ACB206045);江西民族传统药现代科技与产业发展协同创新中心开放基金(JXXT201402008);江西省中医药管理局科技计划(2022Z023);博士科研启动基金(2018WBZR002)

Chemical composition analysis of mango kernels by UPLC-Q-TOF-MS/MS

WU Jun-ying1,ZHANG Wu-gang2,LANG Yi-fan1,HUANG Zhi-chao1,YANG Wu-liang1,YANG Jie 2*,CHEN Hai-fang1*   

  1. 1Engineering Center for Solid Preparation in Chinese Herbal Medicine,Jiangxi University of Traditional Chinese Medicine;2Key Laboratory of Modern Preparation of Traditional Chinese Medicine,Ministry of Education,Jiangxi University of Traditional Chinese Medicine National Pharmaceutical,Nanchang 330004,China
  • Online:2023-06-28 Published:2023-06-28

摘要:

为了对芒果核中的化学成分进行系统全面地分析,本研究采用超高效液相色谱-四级杆-飞行时间质谱(UPLC-Q-TOF-MS/MS)对芒果核中的化学成分进行了分析和鉴定。采用电喷雾离子源(ESI),于负离子模式下采集数据;结合对照品质谱数据及相关文献,对样品中成分的二级质谱数据进行分析,共鉴定出135个化合物,主要包括没食子酸鞣质类47个、黄酮类47个、有机酸类30个、香豆素类3个、环烯醚萜苷类8个,其中17个化合物首次在芒果核中鉴定得出。本实验运用UPLC-Q-TOF-MS/MS 技术对芒果核的化学成分进行了较为全面系统地解析,可为其后续的药效物质基础研究及临床应用奠定基础。

关键词: UPLC-Q-TOF-MS/MS, 芒果核, 化学成分, 质谱分析

Abstract:

To systematically investigate the chemical constituents of mango kernels,ultra performance liquid chromatography tandem quadrupole time of flight mass spectrometry (UPLC-Q-TOF-MS/MS) was analyzed in this study.Electrospray ion source (ESI) was adopted to collect the data in negative ion mode.A total 135 compounds were identified according to analyze the mass data from the references and related literatures,including 47 berberine-type alkaloids,47 flavonoids,30 organic acids and three coumarins,eight iridoid glycosides.Seventeen compounds were identified in this genus for the first time.Using UPLC-Q-TOF-MS/MS technology to analyze the chemical constituents of mango kernels,which will provide a significant basis for the subsequent study of material basis and clinical application.

Key words:

中图分类号:  R284.1