摘要
目的:研究广东海风藤挥发油GC-MS指纹图谱。方法:运用GC-MS分析10批次广东海风藤挥发油样品,所得TIC图谱采用"中药色谱指纹图谱计算机相似性评价系统"软件进行模式分析及相似度计算,并对主要特征峰成分进行检识和SPSS聚类分析。结果:标定出23个共有特征峰,相似度(全谱)计算结果偏低,通过聚类分析结果可将样品分为Ⅲ类。结论:本方法重复性好,所建立的指纹图谱为广东海风藤挥发油的质量控制提供了有效手段。
Objective ： To study the fingerprint of volatile oil from Kadsura heteroclita by GC-MS. Methods ： 10 batches of Kadsura heteroclita were analyzed by GC-MS. TIC profiles were evaluated by＂ Computer Aided Similarity Evaluation System＂. The eharacteristie peaks in chromatograms were identified. Hierarchical clustering analysis was performed by SPSS. Results ：23 main peaks was established preliminarily from 10 batches. Resemblance values of 10 batches were a little low. 10 batches were divided into three main clusters based on hierarchical clustering analysis. Conclusion ： With Good reproducibility, fingerprints established for volatile oil from Kadsura heteroclita provides an effective method for quality control.
出处
《中药材》
CAS
CSCD
北大核心
2012年第9期1431-1434,共4页
Journal of Chinese Medicinal Materials
基金
广东省中医药管理局项目(20111275)
广东食品药品职业学院院级课题(2009YZ008)
