绿茶中21种黄酮醇糖苷类化合物的鉴别及地理溯源
Identification and Geographical Traceability of 21 Flavonol Glycosides in Green Tea
黄永桥 1高亮 2吴新文 1李占彬 2杨昌彪 2毛敏霞1
作者信息
- 1. 贵州省检测技术研究应用中心 贵阳 550014
- 2. 贵州省分析测试研究院 贵阳 550014
- 折叠
摘要
分析6个产地绿茶中黄酮醇糖苷类化合物种类和含量差异,探究黄酮醇糖苷类化合物对绿茶地理溯源的可行性分析.采用超高效液相色谱-四极杆/静电场轨道阱高分辨质谱(UPLC-Q-Orbitrap HRMS)对黄酮醇苷类化合物进行定性鉴别,建立超高效液相色谱-串联三重四极杆质谱(UPLC-MS/MS)测定绿茶中黄酮醇苷类化合物的定量分析方法.共鉴别出21种黄酮醇苷类化合物,包括5种杨梅素糖苷、8种槲皮素糖苷和8种山奈素糖苷,定量分析结果表明不同产地绿茶中黄酮醇苷类化合物含量存在差异,K-glu-rha-glu含量最高,占总含量的33.1％～57.8％;山奈素糖苷含量最高,杨梅素糖苷含量最低.通过对6个地区绿茶中黄酮醇苷类化合物的差异性及相关性的分析结果可以用于茶叶地理溯源;PCA能有效的区分不同产地的绿茶;BP-ANN识别的准确率为100.0％,且得到2种规范化的重要性为100％的黄酮醇苷类化合物标记物(P＜0.05);PLS-DA模型预测能力为78.2％,筛选出了8种标志物(VIP＞1);LSD模型的整体判别准确率为100％,交叉验证结果准确率为100％.本研究结果为茶叶地理溯源和化学分类提供了数据参考.
Abstract
To distinguish the diflerences in the types and contents of flavonol glycoside in green tea from 6 production areas,and explore the feasibility of flavonol glycoside for geographical traceability of green tea.In this study,the quali-tative identification of flavonol glycosides by ultrahigh performance liquid chromatography-quadrupole-electrostatic field or-bitrap high resolution mass spectrometry(UPLC-Q-Orbitrap HRMS),and a quantitative method of flavonol glycosides in green tea was established based on ultra high performance liquid chromatography-tandem triple quadrupole mass spec-trometry(UPLC-MS/MS).The results showed that a total of 21 kinds of flavonol glycosides were positively identified in green tea,including 5 myricetin glycosides,8 quercetin glycosides and 8 kaempferol glycosides.The quantitative analysis showed that the content of flavonol glycosides varied from different producing area in green tea,in which the content of K-glu-rha-glu was the highest,accounting for 33.1％-57.8％of 21 kinds of flavonol glycosides,followed with the kaempferol glycoside,while content of myricetin glycoside was the lowest.By analyzing the differences and correlations of flavonol glycosides in green tea from 6 production areas indicate that they can be used for geographical traceability of tea.The green teas from different producing areas could be effectively distinguished by PC A.The precision rate was 100.0％for BP-ANN recognition,and 2 kinds of compound markers for flavonol glycoside were acquired with 100％im-portance(P＜0.05).The predictive ability of PLS-DA model was 78.2％,and 8 biomarkers(VIP＞1)were screened out.The entirety precision rate was 100％by LSD model,and the precision rate of cross validation result was 100％.The results of this study may provide scientific basis for the study of geographical traceability and chemical classification of tea.
关键词
UPLC-Q-Orbitrap/HRMS/UPLC-MS/MS/茶叶/黄酮醇糖苷类化合物/鉴别/地理溯源Key words
UPLC-Q-Orbitrap HRMS/UPLC-MS/MS/tea/flavonol glycosides/identify/geographical traceability引用本文复制引用
基金项目
国家自然科学基金项目(32072446)
贵州省科技计划项目(黔科中引地[2021]4026)
出版年
2024
NETL
NSTL
万方数据