CJCU

Chem. J. Chinese Universities ›› 2010, Vol. 31 ›› Issue (1): 38.

• Articles • Previous Articles     Next Articles

Experimental Optimization of Sample Pretreatment for Fingerprinting of Chemical Components in Tea

ZHAO Rui1, OUYANG Jie1, DU Shu-Shan2, GENG Zhu-Feng1, XU Mei-Feng1, DENG Zhi-Wei1*   

  1. 1. Analytical & Testing Center, Beijing Normal University, Beijing 100875, China;
    2 .Center for Natural Medicine Engineering, Ministry of Education, College of Resources Science & Technology, Beijing Normal University, Beijing 100088, China
  • Received:2009-08-12 Online:2010-01-10 Published:2010-01-10
  • Contact: DENG Zhi-Wei. E-mail: dengzw@bnu.edu.cn
  • Supported by:

    国家科技支撑计划课题(批准号： 2007BAI48B10)和北京市新医药学科群重点支持项目(批准号: xk100270569)资助.

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Abstract:

A certain pattern recognition method was suggested to optimize the experimental conditions of the sample pretreatment for chemical finger-print experiments. 1H NMR plus Principle component analysis(PCA) were used as the testing and evaluating means, considering that the test samples of finger-print experiments usually consist of multi-components. The data exposed in 1H NMR spectra were wholly involved in PCA to provide the predictable information for the design of the sample pretreatment. With this sleight, we optimized the experimental conditions such as the prescription of extraction solution, ratio between solution and sample, experimental temperature and extraction duration, and proposed a standard procedure of the sample pretreatment for 1H NMR finger-print experiments of tea. Finally, the newly designed procedure was tested with four tea samples and the 1H NMR spectra obtained were well matched the requirements of chemical finger-print experiments. The results show that this method is reliable and can be used in designing a standard procedure of sample pretreatments for complicated testing system.

Key words: NMR spectroscopy; Chemical finger-print; Principle component analysis; Tea

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