摘要
目的:建立川麦冬野生种质资源的HPLC及GC特征图谱,并对其进行系统聚类分析,为科学评价及有效控制麦冬质量提供新方法。方法:采用反相高效液相色谱和气相色谱质谱联用法建立不同来源川产麦冬野生种质资源的色谱指纹图谱,并综合利用图谱信息,使用SPSS17.0软件对不同来源川麦冬样品进行系统聚类分析。结果:16批野生川麦冬样品共有28个HPLC特征峰,13个GC特征峰,各样品图谱与所建立的特征图谱间的相似度均达到90%以上,不同批次麦冬样品被聚为不同层次的5类。结论:不同批次麦冬样品的色谱特征图谱具有相似性,且重现性良好,其样品处理方法简单、快速、可连续使用,色谱方法简便、准确,结果可靠,特征图谱直观明确,特征明显,可作为麦冬质量评价的有效手段。
The chromatographic fingerprint was established for evaluating and controlling the quality of germplasm resource of Ophiopogon japonicus in Sichuan Basin by reversed-phase high performance liquid chromatography and gas chromatography mass spectrometry.The results showed that each sample the characterized by the peak area of 28 HPLC peaks and 13 GC peaks in each program and these peaks were employed for hierarchical cluster analysis.Furthermore,the discrimination of the sample from different regions was achieved by hierarchical cluster analysis via recognizing the 16（41 datamatrix.This was the first report of hierarchical cluster analysis of the wild germplasm resource of Ophiopogon japonicus according to their chemical fingerprints.Thus,the results proved it is a simple,rapid and accurate method suitable for the quality control of the traditional Chinese medicines.
出处
《中国中药杂志》
CAS
CSCD
北大核心
2010年第20期2726-2730,共5页
China Journal of Chinese Materia Medica
基金
四川省育种攻关项目(2006yzgg12-12)
关键词
LC-GC
指纹图谱
质量控制
麦冬
GC-MS
fingerprint
quality control
Ophiopogon japonicus
作者简介
[通信作者]陈兴福，Tel：（0835）2882612，E-mail：chenxf64@sohu．com
