红景天~1H-NMR指纹图谱-化学模式识别研究  

Classification of Rhodiola crenulata and Rhodiola fastigiata based on ~1H-NMR fingerprint combined with chemical pattern recognition technique

作　　者：李涛[1] 何璇[1] 

机构地区：[1]四川大学华西药学院,四川成都610041

出　　处：《时珍国医国药》2017年第4期888-891,共4页Lishizhen Medicine and Materia Medica Research

基　　金：四川省科学技术厅应用基础研究计划项目(No.2016JY0247);四川省教育厅科研重点项目(No.16ZA0006)

摘　　要：目的建立一种基于核磁共振技术~1H-NMR指纹图谱结合化学模式识别的大花红景天和长鞭红景天的鉴别方法。方法以~1H-NMR技术测定大花红景天和长鞭红景天的特征性全成分信息,并转化成数据矩阵,采用化学模式识别方法中的主成分分析(PCA)、偏最小二乘法-判别分析(PLS-DA)法进行模式识别分析。结果基于核磁共振技术~1H-NMR指纹图谱-化学模式识别方法能有效地分类与鉴别大花红景天和长鞭红景天。结论~1H-NMR指纹图谱-化学模式识别方法是一种有效的红景天分类与鉴别方法,为红景天属药用植物的质量控制和品质评价奠定基础。Objective To develop an authentication method of Rhodiola crenulata and Rhodiola fastigiata based on 1H - NMR fingerprints techniques combined with chemical pattern recognition analysis. Methods A broad range of metabolites of Rhodiola crenulata and Rhodiola fastigiata could be detected by I H -NMR spectroscopy, and converted into a data matrix, using principal component analysis （PCA） , partial least squares discriminant analysis （PLS -DA） method for pattern recognition analysis. Re- suits Rhodiola crenulata and Rhodiola fastigiata could be discriminated by 1 H - NMR fingerprints techniques combined with chemical pattern recognition analysis. Conclusion These results indicated that the combination of 1H - NMR fingerprints tech- niques and chemical pattern recognition analysis provides a useful tool for chemotaxonomic analysis and authentication of Rhodiola crenulata and Rhodiola fastigiata, and could use for the quality control and quality evaluation of Rhodiola medicinal plants.

关 键 词：红景天属 核磁共振氢谱 化学模式识别 主成分分析 偏最小二乘法-判别分析 

分 类 号：R281[医药卫生—中药学] R282.5[医药卫生—中医学]