王 丽,林 昕,邵金良,魏茂琼,陈兴连,梅文泉,汪禄祥,刘宏程.不同茶类的高效液相色谱特征指纹图谱研究[J].食品安全质量检测学报,2020,11(11):3586-3592
不同茶类的高效液相色谱特征指纹图谱研究
Study on the characteristic fingerprints of different varieties tea by high performance liquid chromatography
投稿时间:2020-04-12  修订日期:2020-05-05
DOI:
中文关键词:  茶叶  高效液相色谱法  指纹图谱  聚类分析
英文关键词:tea  high performance liquid chromatography  fingerprint  cluster analysis
基金项目:云南省科技计划青年基金项目(2017FD203)、云南省科技惠民专项(农业)重点项目(2014RA054)、云南省农业科学院农产品质量与食品安全省创新团队(2015HC025)、国家自然科学基金地区科学基金项目(31760490)
作者单位
王 丽 云南省农业科学院质量标准与检测技术研究所;农业农村部农产品质量监督检验测试中心 
林 昕 云南省农业科学院质量标准与检测技术研究所;农业农村部农产品质量安全风险评估实验室 
邵金良 云南省农业科学院质量标准与检测技术研究所;农业农村部农产品质量监督检验测试中心 
魏茂琼 云南省农业科学院质量标准与检测技术研究所;农业农村部农产品质量安全风险评估实验室 
陈兴连 云南省农业科学院质量标准与检测技术研究所;农业农村部农产品质量监督检验测试中心 
梅文泉 云南省农业科学院质量标准与检测技术研究所;农业农村部农产品质量监督检验测试中心 
汪禄祥 云南省农业科学院质量标准与检测技术研究所;农业农村部农产品质量监督检验测试中心 
刘宏程 云南省农业科学院质量标准与检测技术研究所;农业农村部农产品质量安全风险评估实验室 
AuthorInstitution
WANG Li Institute of Quality Standards and Testing Technology, Yunnan Academy of Agricultural Sciences;Supervision & Testing Center for Farm Products Quality, Ministry of Rural Agriculture 
LIN Xin Institute of Quality Standards and Testing Technology, Yunnan Academy of Agricultural Sciences;Laboratory of Quality and Safety Risk Assessment for Agro-products (Kunming), Ministry of Agricultureand Rural Affairs 
SHAO Jin-Liang Institute of Quality Standards and Testing Technology, Yunnan Academy of Agricultural Sciences;Supervision & Testing Center for Farm Products Quality, Ministry of Rural Agriculture 
WEI Mao-Qiong Institute of Quality Standards and Testing Technology, Yunnan Academy of Agricultural Sciences;Laboratory of Quality and Safety Risk Assessment for Agro-products (Kunming), Ministry of Agricultureand Rural Affairs 
CHEN Xing-Lian Institute of Quality Standards and Testing Technology, Yunnan Academy of Agricultural Sciences;Supervision & Testing Center for Farm Products Quality, Ministry of Rural Agriculture 
MEI Wen-Quan Institute of Quality Standards and Testing Technology, Yunnan Academy of Agricultural Sciences;Supervision & Testing Center for Farm Products Quality, Ministry of Rural Agriculture 
WANG Lu-Xiang Institute of Quality Standards and Testing Technology, Yunnan Academy of Agricultural Sciences;Supervision & Testing Center for Farm Products Quality, Ministry of Rural Agriculture 
LIU Hong-Cheng Institute of Quality Standards and Testing Technology, Yunnan Academy of Agricultural Sciences;Laboratory of Quality and Safety Risk Assessment for Agro-products (Kunming), Ministry of Agricultureand Rural Affairs 
摘要点击次数: 744
全文下载次数: 431
中文摘要:
      目的 高效液相色谱法(high performance liquid chromatography, HPLC)建立普洱茶等不同品种茶叶样品的指纹图谱。方法 28批茶叶样品经80%甲醇水溶液超声辅助提取, 采用Waters C18柱(4.6 mm×250 mm, 5.0 μm), 以乙腈-0.5%乙酸为流动相进行梯度洗脱, 流速0.7 mL/min, 紫外检测器于270 nm波长进行目标化合物的检测。采用中药色谱指纹图谱相似度评价系统软件进行数据分析, 并建立不同品种、不同厂家茶叶的指纹图谱集。结果 不同品种茶叶的相似度在0.772~0.981之间, 有18个共有峰, 指认了其中儿茶素、表儿茶素、没食子儿茶素、表没食子儿茶素、没食子儿茶素没食子酸酯、表儿茶素没食子酸酯、表没食子儿茶素没食子酸酯7个共有峰。相似度结果结合聚类分析结果表明不同品种的茶叶能被准确识别分开, 此方法实现了不同茶叶样品的准确分类和识别。结论 不同品种、不同厂家茶叶的品质差异明显, 高效液相指纹图谱结合化学计量学工具能够很好地提取茶叶的化学信息, 并且能够准确地分类和识别不同品种茶叶, 为茶叶的品种分类识别和质量控制提供参考依据。
英文摘要:
      Objective To establish the fingerprint of Pu'er tea and other tea samples by high performance liquid chromatography (HPLC). Methods A total of 28 batches of tea samples were used as experimental materials, after ultrasonic assisted extraction with 80% methanol solution, the tea samples were separated by Waters C18 column (4.6 mm ×250 mm, 5.0 m) for gradient elution using acetonitrile -0.5% acetic acid as the mobile phase with a flow rate of 0.7 mL/min. The target compound was detected by ultraviolet detector at 270 nm wavelength. The fingerprint similarity software was used for data analysis to establish a common fingerprint pattern of fingerprint of different varieties of tea. Results The similarities of different varieties of tea ranged from 0.772 to 0.981, with 18 common peaks, among which seven common peaks of catechin, epieatechin, gallocatechin, eepigallocatechin, gallocatechingallate, epicatechingallate, epigallocatechingallate were identified. Similarity results combining with cluster analysis results were different varieties of tea samples could be clustered into 2 groups, this method could realize the accurate classification and identification of different tea samples. Conclusion The quality of tea leaves from different varieties and different manufacturers is obviously different. High performance liquid chromatography fingerprint combined with chemometrics tools can extract chemical information of tea leaves well, and can accurately classify and identify different varieties of tea leaves, providing reference basis for variety classification, identification and quality control of tea leaves.
查看全文  查看/发表评论  下载PDF阅读器