摘要
运用气相色谱-质谱指纹图谱相似度评价法、系统聚类分析法、主成分分析法和判别分析法建立苍术药材的综合化学模式识别方法。采用气相色谱-质谱法,DB-wax毛细管色谱柱(0.25 mm×60 m,0.25μm),质谱条件为EI离子源,电子能量为70 eV,建立苍术GC-MS指纹图谱,并以33批药材的共有色谱峰面积为依据,建立其系统聚类分析方法、主成分分析方法和判别分析方法。结果表明指纹图谱法可以区别不同品种及产地苍术,系统聚类分析与主成分分析及判别分析法所得的结果一致,均能很好地区分道地茅苍术、非道地茅苍术和北苍术。因此,所建立的综合化学模式识别方法可用于苍术的质量控制及品种评价。
A method of comprehensive chemical pattern recognition of Atractylodis Rhizoma was established by GC-MS fingerprint, principal component analysis, cluster analysis and discriminant analysis. A DB-wax column （0. 25 mm × 60 m,0. 25 μm） with EI ion source and 70 V electron multiplier were used for GC-MS analysis. Using principal component analysis, cluster analysis, and discriminant analysis, 15 common peaks of sample fingerprints for chemical pattern recognition research were analysed. The same results were obtained from the fingerprint, principal component analysis and cluster analysis, which could use to distinguish genuine At- ractylodes lancea, ungenuine A. lancea and A. chinensis. Thus, this method could be used for the quality control and comprehensive evaluation of Atractylodis Rhizoma.
出处
《中国中药杂志》
CAS
CSCD
北大核心
2014年第13期2536-2541,共6页
China Journal of Chinese Materia Medica
基金
国家自然科学基金项目(81072985
81130070
81072989)
江苏大学第十二批学生科研立项一般项目(Y12A152)
关键词
苍术
GC-MS
综合化学模式识别
质量控制与评价
Atractylodis Rhizoma
GC-MS
comprehensive chemical pattern
guality control and assessment
