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利用质谱分子网络分析'龙井43'茶籽皂素

郭亮 常娅 孔亚帅 高颖 凌铁军

茶叶科学2026,Vol.46Issue(3):545-556,12.
茶叶科学2026,Vol.46Issue(3):545-556,12.

利用质谱分子网络分析'龙井43'茶籽皂素

Profiling of Saponins in'Longjing 43'Tea Seeds by Molecular Networking

郭亮 1常娅 2孔亚帅 2高颖 3凌铁军2

作者信息

  • 1. 安徽农业大学茶树种质创新与资源利用全国重点实验室,安徽 合肥 230036||中国农业科学院茶叶研究所,浙江 杭州 310008
  • 2. 安徽农业大学茶树种质创新与资源利用全国重点实验室,安徽 合肥 230036
  • 3. 中国农业科学院茶叶研究所,浙江 杭州 310008
  • 折叠

摘要

Abstract

Theasaponins are a class of oleanane-type triterpenoid saponins enriched in seeds of Theaceae plants.The high structural diversity but tiny structural differences among theasaponins are challenging analysis,isolation and structural identification of them,making it difficult for the industry to efficiently characterize the saponin profiles in tea seeds.In this study,using seeds from tea cultivar'Longjing 43'as experimental material,ultra-high performance liquid chromatography coupled with electrospray ionization quadrupole-orbitrap high-resolution mass spectrometer(UPLC/ESI-Q-Orbitrap MS),molecular networking,and in silico mass spectrometral data processing were employed.A total of 7 and 26 theasaponins were detected in positive and negative ion modes,respectively.The triterpenoids detected in the positive ion mode were mainly triterpenoid aglycones and their organic acid esters,whereas those detected in the negative ion mode were primarily typical teasaponins characterized by structures containing triterpene aglycones,glycosyl groups and organic acids.The combination of these techniques significantly enhanced the efficiency of theasaponin analysis and the ionization mode of mass spectrometer exhibited a bias in the detection of teasaponins.This study provided a new technical way and perspective for qualitative and quantitative research on theasaponins.

关键词

茶皂素/离子化模式/超高效液相色谱-高分辨质谱/分子网络分析

Key words

theasaponins/ionization mode/UPLC-HRMS/molecular networking

分类

农业科技

引用本文复制引用

郭亮,常娅,孔亚帅,高颖,凌铁军..利用质谱分子网络分析'龙井43'茶籽皂素[J].茶叶科学,2026,46(3):545-556,12.

基金项目

国家自然科学基金(32372313) (32372313)

国家茶叶产业技术体系(CARS-19) (CARS-19)

中国农业科学院创新工程项目(CAAS-ASTIP-TRI) (CAAS-ASTIP-TRI)

茶叶科学

1000-369X

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