分析与检测

基于超高效液相色谱-高分辨质谱的茶叶非挥发性成分分析与品质评价

  • 黎露露 ,
  • 尹艳艳 ,
  • 王夜梅 ,
  • 张梦瑞 ,
  • 许文静 ,
  • 路虎 ,
  • 范奇高
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  • 1(贵州习酒股份有限公司,贵州 遵义,564622)
    2(酱香型白酒生物制造技术贵州省院士创新团队工作站,贵州 遵义,564622)
第一作者:硕士,工程师(范奇高工程师为通信作者,E-mail:1354326886@qq.com)

收稿日期: 2025-11-18

  修回日期: 2026-01-25

  网络出版日期: 2026-09-21

基金资助

遵义市科技创新团队建设项目(遵KCTD074)

Analysis and quality evaluation of non-volatile components in tea based on ultra-high performance liquid chromatography-high resolution mass spectrometry

  • LI Lulu ,
  • YIN Yanyan ,
  • WANG Yemei ,
  • ZHANG Mengrui ,
  • XU Wenjing ,
  • LU Hu ,
  • FAN Qigao
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  • 1(Guizhou Xijiu Co.Ltd., Zunyi 564622, China)
    2(Guizhou Academician Innovation Team Workstation of Jiangxiangxing Baijiu Bio-Manufacturing Technology, Zunyi 564622, China)

Received date: 2025-11-18

  Revised date: 2026-01-25

  Online published: 2026-09-21

摘要

为实现茶叶中儿茶素、氨基酸及生物碱等多种非挥发性成分的同步分析,该研究建立了一种基于超高效液相色谱-高分辨质谱的定性定量分析方法。以0.1%甲酸-50%甲醇(体积分数)作为提取溶剂,通过超声辅助同步提取29种目标化合物。通过系统优化,采用Hypersil GOLD色谱柱(150 mm×2.1 mm,1.9 μm),以0.1%甲酸水(体积分数)和甲醇为流动相进行梯度洗脱,在正负离子切换模式下实现儿茶素、生物碱和氨基酸成分的同步分离。方法学验证表明,29种目标物在其线性范围内决定系数R2>0.988 7,加标回收率为80.77%~117.23%,相对标准偏差为0.59%~9.81%,表明方法准确度高、稳定性好。将该方法应用于实际样品分析,基于29种成分进行主成分分析,提取到5个主成分,累计方差贡献率为97.39%,并构建茶叶品质综合评价模型。该方法操作简便、灵敏度高,适用于茶叶多组分同步检测与品质综合评价,为茶叶质量控制和标准化评价提供了参考。

本文引用格式

黎露露 , 尹艳艳 , 王夜梅 , 张梦瑞 , 许文静 , 路虎 , 范奇高 . 基于超高效液相色谱-高分辨质谱的茶叶非挥发性成分分析与品质评价[J]. 食品与发酵工业, 2026 , 52(17) : 356 -364 . DOI: 10.13995/j.cnki.11-1802/ts.045206

Abstract

This study developed a method based on ultra-performance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS) to achieve simultaneous analysis of multiple non-volatile components in tea.A solution of 0.1% formic acid-50% methanol (volume fraction) was used as the extraction solvent for the ultrasonic-assisted simultaneous extraction of 29 target compounds, including catechins, amino acids, and alkaloids.After systematic optimization, a Hypersil GOLD column (150 mm×2.1 mm, 1.9 μm) was used, with a gradient elution of 0.1% formic acid water (volume fraction) and methanol as the mobile phase.The simultaneous separation and identification of catechins, alkaloids, and amino acids were achieved under positive and negative ion switching modes.Method validation showed good linearity (R2>0.988 7) for all analytes within their respective concentration ranges.The average recoveries at three spiked levels ranged from 80.77% to 117.23%, with relative standard deviations between 0.59% and 9.81%.These results indicated that the method provided high accuracy, repeatability, and stability.The established method was successfully applied to real tea samples.Based on the contents of the 29 components, principal component analysis was performed, extracting five principal components with a cumulative variance contribution rate of 97.39%.A comprehensive quality evaluation model for tea was subsequently constructed.This method is simple, sensitive, and suitable for simultaneous determination and quality assessment of multiple components in tea, providing a valuable reference for tea quality control and standardized evaluation.

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