摘要
目的:研究贵州产荭草药材指纹图谱的模式识别方法。方法:利用HPLC-DAD方法,以贵州不同产地、不同采收期荭草药材为研究对象,对20批药材进行了指纹图谱分析,并通过对照品与药材样品的色谱峰保留时间一致性和紫外光谱相似性比较,对其主要色谱峰进行初步归属,同时运用聚类分析及主成分分析对其进行模式识别研究。结果:20批荭草药材的指纹图谱有12个特征共有峰,并指认了9个色谱峰。通过聚类分析和主成分分析将20批药材按采收期不同分为3类。结论:贵州产荭草质量较为稳定,荭草指纹图谱的模式识别直观、可行,为荭草的生产和质量控制提供了依据。
AIM ： To study pattern recognition of the fingerprint of Polygonum orientale from Guizhou Province. METHODS： 20 batches of samples, Polygonum orientale, come from different producing areas and harvest time were carried out to gain fingerprints by HPLC-DAD, as compared with retention time and ultraviolet spectra of standard substances. The pattern recognition of the characteristic fingerprint of Polygonum orientale, known as cluster analysis and principal component analysis, formed. RESULTS ： The fingerprint of 20 batches of Polygonum orientale showed 12 characteristic peaks, in which 9 common peaks were confirmed, the samples were grouped into 3 types of harvest time. CONCLUSION： The quality of Polygonum orientale in Guizhou Province is stable, the pattern recognition of the fingerprint provides the experimental basis for manufacture and quality control of Polygonum orientale.
出处
《中成药》
CAS
CSCD
北大核心
2008年第7期945-949,共5页
Chinese Traditional Patent Medicine
基金
国家科技部科技支撑计划课题(2006BAI06A01-03)
贵州省科技计划重大专项项目(黔科合重大专项字[2007]6010号)
关键词
荭草
指纹图谱
聚类分析
主成分分析
Polygonum orientale
fingerprint
cluster analysis
principal component analysis
