色谱 ›› 2022, Vol. 40 ›› Issue (3): 242-252.DOI: 10.3724/SP.J.1123.2021.07015

• 研究论文 • 上一篇    下一篇

超高效液相色谱-高分辨质谱联用结合整合过滤策略全面分析茶树花中化学成分

黄斯晨, 赵宏朋, 胡永丹, 任达兵, 易伦朝*()   

  1. 昆明理工大学农业与食品学院, 云南 昆明 650500
  • 收稿日期:2021-07-28 出版日期:2022-03-08 发布日期:2022-03-04
  • 通讯作者: 易伦朝
  • 基金资助:
    国家自然科学基金(21775058)

Comprehensive analysis of chemical constituents of tea flowers by ultra-performance liquid chromatography-high resolution mass spectrometry combined with integrated filtering strategy

HUANG Sichen, ZHAO Hongpeng, HU Yongdan, REN Dabing, YI Lunzhao*()   

  1. College of Agriculture and Food, Kunming University of Science and Technology, Kunming 650500, China
  • Received:2021-07-28 Online:2022-03-08 Published:2022-03-04
  • Contact: YI Lunzhao
  • Supported by:
    National Natural Science Foundation of China(21775058)

摘要:

茶树花与茶鲜叶同为茶树的生物产出,但茶树花往往被视为茶叶生产过程中的废物被舍弃,造成了茶树花资源的极大浪费。目前对于茶树花中化学成分的分析主要集中在氨基酸、茶多酚等单一类型化学成分上,对于茶树花中多类化学成分的同时分析仍鲜见报道。研究者对于茶树花中所含化学成分的种类和含量不完全清楚,成为制约茶树花深度开发与利用的重要原因。该研究采用超高效液相色谱-高分辨质谱联用技术(UPLC-HRMS)对茶树花中的化学成分进行检测,结合氮规则过滤(NRF)、质量亏损过滤(MDF)和诊断碎片离子过滤(DFIF)的整合过滤策略(IFS)筛选目标化学成分的特征质谱,并利用化学成分的色谱保留时间、一级质谱、二级质谱等信息对化学成分进行定性分析。共定性出茶树花中6大类共137种化学成分,包括3种生物碱、38种黄酮、31种酚酸及其衍生物、37种儿茶素及其衍生物、18种氨基酸以及10种其他类成分。采用内标法对所有定性出的137种化学成分进行定量分析,结果表明,茶树花中6类化学成分含量从高到低依次为氨基酸(9371.42 μg/g)、儿茶素及其衍生物(9068.43 μg/g)、酚酸及其衍生物(8696.92 μg/g)、生物碱(4392.52 μg/g)、黄酮(1192.88 μg/g)、其他类成分(139.94 μg/g)。该研究采用质量控制样本评价仪器的稳定性和检测数据的重复性,9种代表性化学成分的相对标准偏差在2.11%~12.17%范围内,表明仪器的稳定性和检测数据重复性良好。同时,选取绿原酸类成分以及糖基化槲皮素类成分作为代表性成分,说明了整合过滤策略提取目标类型化学成分的全过程。该研究全面揭示了茶树花中化学成分的种类和含量,可为茶树花的深度开发和利用提供有价值的信息和数据参考。

关键词: 超高效液相色谱-高分辨质谱, 整合过滤策略, 化学成分, 茶树花

Abstract:

Tea flowers and fresh tea leaves are biological products of tea, but tea flower is often regarded as waste during tea production, resulting in notable waste of tea flower resources. At present, analysis of the chemical components in tea flowers focuses on single types of chemical components such as amino acids and tea polyphenols, and there are only a few reports on the simultaneous analysis of numerous chemical components in tea flowers. Researchers are not completely clear about the types and amounts of the chemical components in tea flowers; this has hindered the in-depth development and effective utilization of tea flowers. In this study, ultra-performance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS) was used to detect the chemical constituents of tea flowers. This technique was combined with the integrated filtering strategy (IFS) of nitrogen rule filtering (NRF), mass defect filtering (MDF), and diagnostic fragment ion filtering (DFIF) for screening the characteristic mass spectra of the target chemical components. Furthermore, the chemical constituents of tea flowers were annotated with information about the retention time, MS fragmentation, and MS/MS fragmentation. All the qualitative chemical components were divided into six categories with a total of 137 chemical constituents, including 3 alkaloids, 38 flavonoids, 31 phenolic acids and their derivatives, 37 catechins and their derivatives, 18 amino acids, and 10 other components. The internal standard method was used to quantify all the qualitative chemical components. The quantitative results showed that the amounts of the six kinds of chemical components in tea flowers were as follows: amino acids, 9371.42 μg/g; catechins and their derivatives, 9068.43 μg/g; phenolic acids and their derivatives, 8696.92 μg/g; alkaloids, 4392.52 μg/g; flavonoids, 1192.88 μg/g; and others, 139.94 μg/g. Quality control samples were used to evaluate the stability of the instrument and the repeatability of the tested data. Nine representative chemical components with high, medium, and low contents in tea were selected, and the relative standard deviation (RSD) of the results was used to evaluate the repeatability of the data. These nine chemical constituents are selected from amino acids, alkaloids, flavonoids, phenolic acids and their derivatives, catechins and their derivatives, and other components, and the response intensities were different. The relative standard deviations of the nine chemical components were in the range of 2.11% to 12.17%. The above results demonstrated the good stability of the instrument and excellent repeatability of the test data. Chlorogenic acid components (CGAs) and glycosylated quercetin components (GQs) were used as two representative components to explain the entire process of extracting the target compounds by IFS. CGAs comprise a class of special esters formed by the esterification of cinnamic acid derivatives with quinic acid as the parent structure. The most common cinnamic acid derivatives are p-coumaric acid, caffeic acid, and ferulic acid. On the one hand, according to the above information and the different positions and degree of quinic acid esterification, the CGAs were structurally classified as monosubstituted CGAs (Mono-CGAs), disubstituted CGAs (Di-CGAs), and trisubstituted CGAs (Tri-CGAs), and three different mass defect filtering windows were set. Therefore, 751 possible target components were selected from 3537 mass spectra in accordance with the nitrogen rule. On the other hand, 22 target components in accordance with the nitrogen rule were obtained by further screening the m/z 191.0551 ion as the diagnostic fragment ion of the CGAs. Combining the overall analytical data with the above mass defect filtering and diagnostic fragment ion filtering screening results, nine target CGAs were selected and characterized based on the MS information. This study reveals the types and amounts of the chemical components accumulated in tea flowers, thus providing valuable information and serving as data reference for the in-depth development and effective utilization of tea flowers.

Key words: ultra-performance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS), integrated filtering strategy (IFS), chemical constituents, tea flower

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