摘要
目的:建立望春花药材中挥发油类成分指纹图谱及多成分含量测定方法。方法:选用(5%-苯基)-甲基聚硅氧烷毛细管色谱柱(30 m×0.32 mm,0.25μm),程序升温法建立指纹图谱,同时采用GC-MS法进行成分鉴定;通过相似度分析、主成分分析和聚类分析对不同产地望春花药材中挥发油类成分进行研究,比较不同产地成分差异。结果:首次建立了望春花药材中挥发油类成分的指纹图谱;建立了α-蒎烯、1,8-桉叶素两种成分的含量测定方法;采用相似度分析、主成分分析、聚类分析3种方法所得得到结果较为一致。同时通过计算机谱库检索,鉴定出22个化学成分,其中主要成分为α-蒎烯、桧烯、β-蒎烯、1,8-桉叶素。结论:通过系统的方法学验证,该方法能够全面控制望春花药材的质量,从而提高药材的质量控制水平。
This study was aimed to establish the fingerprint of volatile oil in Magnolia. Fingerprint analysis was performed by with temperature-programmed method. The 5%-Phenyl Methyl Siloxane Column （HP-5, 30 m × 0.32 mm, 0.25 μm） was used. Identification of constituents was carried out by Gas Chromatography-Mass Spectrometry （GC-MS） methods. The variations brought by origin differences of volatile oil were investigated by similarity analysis, principal component analysis and cluster analysis. The results showed that method for the determination of α-Pinene, 1, 8-Cineole by Gas Chromatography was established for the first time. A total of 22 constituents were identified in Magnolia. The main components are ct-Pinene, Sabinene, β-pinene, and 1, 8-Cineole. The high level of similarity among volatile oil of different origin demonstrated the effects of origin were insignificant. It was concluded that the quality of the Magnolia can be controlled and improved using this method.
出处
《世界科学技术-中医药现代化》
北大核心
2012年第5期2036-2043,共8页
Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology
基金
湖北中烟工业有限责任公司项目(20100501):指纹图谱技术在天然植物及其提取物质量监控中的应用,负责人:王娟
