当归的气—质联用色谱的模式识别  

Pattern Recognition Analysis of Angelica sinensis and Angelica gigas by GC-MS

作　　者：秘效媛[1,2] 朴香兰[2] 田燕泽[2] 

机构地区：[1]延边大学药学院,吉林延吉133002 [2]中央民族大学中国少数民族传统医学研究院,北京100081

出　　处：《中央民族大学学报（自然科学版）》2009年第3期78-84,共7页Journal of Minzu University of China(Natural Sciences Edition)

基　　金：中央民族大学2008年度青年教师科研基金

摘　　要：采用GC-MS法,对来自中国与韩国的41个模式组当归药材进行测定,并运用主成分分析法、聚类分析法和判别分析等多变量分析方法对各样品指纹图谱进行化学模式识别研究.结果表明Z-藁本内酯在中国当归中相对含量较高,紫花前胡素和紫花前胡醇当归酯在朝鲜当归中相对较高.同时,论证了该方法的可行性和有效性.利用气—质联用色谱的模式识别方法是一种科学有效的当归药材的质量评价方法.Objective： To compare 41 root samples of Angelica sinensis and A. gigas from China and Korea for the quality control of Chinese Angelica. Method： HP-5 （30 m × 0.32 mm,0.25μm） column was used for the GC-MS analysis. The oven temperature was programmed from 120 to 280℃ at a rate of 5℃/min. Carrier gas： He; Injector temperature： 280℃ ; Detector： Flame ionization detector （ FID）, 300℃. Subsequently, multivariate analytical methods, such as principal component analysis （PCA）, cluster analysis （CA）, and discriminant analysis （DA）, were applied to the samples for chemical fingerprint pattern recognition research. Results： Z-lignstilide was the most contributive principle distinguishing Chinese samples from Korean, and decursin and decursinol angelate were more contained in Korean samples. Moreover, using discriminant analysis, seven samples （four from A. sinensis, three from A. gigas ） were validated. All tested samples were successfully classified according to their species origin. Conclusion：GC-MS-pattem recognition method is one kind of scientific and effective methods for the quality evaluation of A. sinensis.

关 键 词：当归 模式识别 气-质联用 主成分分析 聚类分析 判别分析 

分 类 号：O657.63[理学—分析化学] R284[理学—化学]