基于~1H-NMR技术结合多元统计分析方法对两种红景天的鉴别研究  

Identification of Two Rhodiola Species Based on ~1H-NMR Combined with Multivariate Statistical Analysis Method

作　　者：李涛[1] 李冲 司梦鑫 LI Tao;LI Chong;SI Meng-xin(West China School of Pharmacy,Sichuan University,Chengdu 610041 ,China)

机构地区：[1]四川大学华西药学院,四川成都610041

出　　处：《中药材》2018年第12期2779-2783,共5页Journal of Chinese Medicinal Materials

基　　金：成都市科学技术局科技惠民技术研发项目(2016-HM01-00339-SF);四川省科学技术厅应用基础研究计划项目(2016JY0247)

摘　　要：目的:采用~1H-NMR指纹图谱技术结合多元统计分析方法,建立长鞭红景天和狭叶红景天的准确分类、鉴别方法。方法:以~1H-NMR技术测定长鞭红景天和狭叶红景天样品的全成分信息,并转化为数据矩阵,对长鞭红景天和狭叶红景天进行相似度考察,采用化学模式识别中层序聚类分析(HCA)、主成分分析法(PCA)、偏最小二乘法-判别分析(PLS-DA)以及正交的偏最小二乘法-判别分析(OPLS-DA)进行识别分析。结果:运用~1H-NMR技术结合多元统计分析方法能有效地区分长鞭红景天和狭叶红景天。结论:建立的基于~1H-NMR指纹图谱技术结合多元统计分析方法是一种有效的红景天鉴别方法,该方法高效、简便,可为红景天属药用植物的品质评价提供参考。Objective:To establish an efficient classification assay for identification of Rhodiola fastigiata and Rhodiola kirilowii based on 1H-NMR fingerprint and multivariate statistical analysis method.Methods:The full compositional information of Rhodiola fastigiata and Rhodiola kirilowii samples were determined by 1H-NMR technique and converted into a data matrix,and the similarities of Rhodiola fastigiata and Rhodiola kirilowii were investigated,hierarchical cluster analysis(HCA),principal component analysis(PCA),partial least squares-discriminant analysis(PLS-DA),and orthogonal partial least squares-discriminant analysis(OPLS-DA)were used to identify and analyze.Results:1H-NMR technology combined with multivariate statistical analysis method could effectively distinguish Rhodiola fastigiata and Rhodiola kirilowii.Conclusion:The method based on 1H-NMR fingerprinting technology combined with multivariate statistical analysis method is an effective method for classifying and identifying Rhodiola species.The method is efficient and simple,and it provides a reference for the quality evaluation and clinical application of the Rhodiola medicinal plant.

关 键 词：长鞭红景天 狭叶红景天 核磁共振氢谱 层序聚类分析 主成分分析 偏最小二乘法分析 正交偏最小二乘法分析 

分 类 号：R282.5[医药卫生—中药学]