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Acta Chimica Sinica ›› 2011, Vol. 69 ›› Issue (01): 77-83. Previous Articles     Next Articles

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表面解吸常压化学电离质谱快速分析六味地黄丸

越皓1，肖治国2，王恩鹏1，陈焕文3，张兴磊3，贾滨3，刘淑莹*,1   

  1. (1长春中医药大学吉林省人参科学研究院 长春 130117)
    (2长春大学计算机科学技术学院 长春 130022)
    (3东华理工大学应用化学系 抚州 344000)
  • 投稿日期:2010-03-19 修回日期:2010-09-04 发布日期:2010-09-18
  • 通讯作者: 刘淑莹 E-mail:mslab@ciac.jl.cn
  • 基金资助:

    吉林省科技发展计划;吉林省重大科技发展计划

Rapid Analysis of Liuwei Dihuang Pills Using Surface Desorption Atmospheric Pressure Chemical Ionization Mass Spectrometry

Yue Hao1, Xiao Zhiguo2, Wang Enpeng 1, Chen Huanwen3 Zhang Xinglei3 Jia Bin3 Liu Shuying*,1   

  1. (1 Changchun University of Traditional Chinese Medicine, Jilin Ginseng Academy, Changchun, 130117 )
    (2 Chanchun University, College of Computer Science and Technology, Changchun, 130022)
    (3 East China Institute of Technology, Department of Applied Chemistry, Fuzhou, 344000)
  • Received:2010-03-19 Revised:2010-09-04 Published:2010-09-18

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A surface desorption atomospheric pressure chemical ionization mass spectrometry (SDAPCI-MS) method was developed to obtain the fingerprint of Liuwei Dihuang pills (LDP) with minimal sample pre-treatment. In the open environment, humid air was corona discharged to produce reagent ions for desorption ionization of the analytes on the surface of the LDPs. Then the analyte ions were guided into the ion trap mass analyzer of the LTQ instrument for mass analysis. Identification of the components of interests such as gallic acid, paeonol and ursolic acid in Liuwei Dihuang pills were demonstrated by tandem mass spectrometry (MS/MS). Principal component analysis (PCA) of the mass spectral fingerprint data was used to differentiate the samples from four manufacturers. The results show that this method is a useful analytical tool for quality control in pharmaceutical industry, particularly for the traditional Chinese medicine production.

Key words: surface desorption atomospheric pressure chemical ionization mass spectrometry, Liuwei Dihuang pill, fingerprint, rapid analysis, principal component analysis (PCA)