食品科学 ›› 2010, Vol. 31 ›› Issue (22): 343-348.doi: 10.7506/spkx1002-6630-201022075

• 分析检测 • 上一篇    下一篇

茶叶中茶多酚和生物碱的测定及聚类和线性判别分析

肖俊松1 ,2,袁英髦1,张爱雪1,曹雁平1,2 ,*   

  1. 1.北京工商大学化学与环境工程学院
    2.食品添加剂与配料北京高校工程研究中心
  • 收稿日期:2010-07-08 出版日期:2010-11-25 发布日期:2010-12-29
  • 通讯作者: 曹雁平 E-mail:caoyp@th.btbu.edu.cn
  • 基金资助:

    “十一五”国家科技支撑计划项目(2006BAD27B03);北京市自然科学基金项目(3062007)

Determination of Polyphenols and Alkaloids in Tea and Cluster-Linear Discrimination Analysis

XIAO Jun-song1,2,YUAN Ying-hao1,ZHANG Ai-xue1,CAO Yan-ping1,2,*   

  1. 1. School of Chemical and Environmental Engineering, Beijing Technology and Business University, Beijing 100048, China;
    2. Beijing Higher Institution Engineering Research Center of Food Additives and Ingredients, Beijing 100048, China
  • Received:2010-07-08 Online:2010-11-25 Published:2010-12-29
  • Contact: CAO Yan-ping1 E-mail:caoyp@th.btbu.edu.cn

摘要:

目的:建立一种反相高效液相色谱方法,测定绿茶、乌龙茶、红茶、白茶和普洱茶中儿茶素[(+)-catechin,C]、表儿茶素[(-)-epicatechin,EC]、表儿茶素没食子酸脂[(-)-epicatechin gallate,ECG]、表没食子儿茶素[(-)-epigallocatechin,EGC]、表没食子儿茶素没食子酸脂[(-)-epigallocatechin gallate,EGCG]、没食子酸(gallic acid,GA)、咖啡因(caffeine,CAF)、可可碱(theobromine,THEO)的水平。以这8 种组分为指标对茶叶进行聚类分析和线性判别分析,建立区分绿茶、红茶和乌龙茶的方法。方法:茶叶提取后采用HPLC 法测定儿茶素和生物碱含量,色谱柱为C18 柱,流动相由甲醇(A)、2% 的乙酸(B)等度洗脱,A、B 相的体积比为25:75,流速为1mL/min,柱温30℃。采用PDA 检测器在278nm 检测,参考波长为210nm。采用SPSS 14.0 对实验数据进行了聚类分析和线性判别分析。结果:在选择的分析条件下,样品中的8 种组分获得了理想分离, 加标回收率在8 7%~ 112.8%之间,并采用外标法对8 种组分进行定量。以这8 种组分的含量为指标,聚类分析和线性判别分析能对39 种茶叶样品进较好的区分。

关键词: 茶多酚, 咖啡碱, 茶叶, 高效液相色谱, 聚类分析, 线性判别分析

Abstract:

Objective: To establish a HPLC method for the determination of (+)-catechin, (-)-epicatechin (EC), (-)-epicatechin gallate (ECG), (-)-epigallocatechin (EGC), (-)-epigallocatechin gallate (EGCG), gallic acid (GA), caffeine (CAF) and theobromine (THEO) in green, oolong and black tea samples, and to develop a discrimination method for green, oolong and black tea by cluster analysis and linear discrimination analysis on the basis of determined chemical components. Methods: Tea samples were extracted by 70% aqueous methanol. Totally 200 mg of grinded tea samples was extracted with 5 mL of 70% aqueous methanol for 10 min in 70 ℃water bath. The extract was centrifuged at 3500 r/min for 10 min, and the supernatant was collected. Then the precipitate was extracted with 5 mL of 70% methanol under the same conditions. The supernatants were combined in a volumetric flask and diluted to 10 mL. A total of 2 mL of such solution was diluted by 5 times with stabilizing solution, filtrated with 0.45 μm membrane, and then used for HPLC analysis. Eight compounds were separated by a C18 column using a mobile phase containing methanol-2% aqueous acetic acid at a ratio of 25:75 (V/V) in an isocratic elution at 30 ℃, and detected using a photodiode array detector at 278 nm with the reference wavelength at 210 nm. The cluster and linear discrimination analyses were performed using SPSS 14.0 software. Results: Eight compounds in all tea samples were well separated under the proposed conditions. The recovery rates of spiked samples were in the range of 87%-112.8%. The contents of 8 compounds determined by an external standard method were used to conduct cluster analysis and linear discrimination analysis. The good differentiation of green, oolong and black tea samples were achieved. Conclusion: This established method is feasible to discriminate green, oolong and black tea.

Key words: tea polyphenol, caffeine, tea, high performance liquid chromatography (HPLC), cluster analysis, linear discrimination analysis

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