摘要
目的:建立藏方甲嘎松汤的质量评价方法。方法:通过水蒸气蒸馏法提取甲嘎松汤挥发油样品,采用气相色谱-质谱(GC-MS)联用技术对挥发油进行分析,并转化成数据矩阵,采用主成分分析以及系统聚类分析进行化学模式识别研究。结果:经聚类分析可将16批甲嘎松汤挥发油样品分为2大类,经主成分分析可将甲嘎松汤综合为3个主成分,可分为2大类;2种模式识别方法对不同甲嘎松汤挥发油样品能准确识别,且其识别结果一致。结论:气质联用-模式识别是一种科学、准确、有效的甲嘎松汤质量控制和评价方法。
Objective:To establish a scientific method for identification and evaluation of the Tibetan prescription Jia Ga Song Tang. Methods : Volatile oil was extracted by water steam distillation and analyzed by GC-MS. Principal component analysis ( PCA ) and hierarchical cluster analysis (HCA)were applied to the samples for chemical fingerprint pattern recognition research. Resuhs : 16 samples according to hierarchical cluster analysis (HCA)and principal component analysis (PCA)were divided into two classes, and results from two recognition analysis methods had good consistency. Conclusion : GC-MS-pattern recognition method was a kind of scientific, accurate and effective method for the quality evaluation of Jia Ga Song Tang.
出处
《中药材》
CAS
CSCD
北大核心
2015年第5期1056-1059,共4页
Journal of Chinese Medicinal Materials
基金
国家自然科学基金(81202997)
广东省科技计划项目(2011B031700075)
广东省自然科学基金(S2011010003925)
广州中医药大学科学研究基金(2004D25)
关键词
甲嘎松汤
气相色谱-质谱联用
模式识别
系统聚类分析
主成分分析
Jia Ga Song Tang
GC-MS
Pattern recognition analysis
Hierarchical cluster analysis
Principal component analysis