基于指纹图谱结合化学模式识别的前胡和紫花前胡分类模型的建立  

Classification and recognition model for Peucedanum praeruptorum Dunn and Peucedanum decursivum(Miq.)Maxim.based on fingerprints combined with chemical patterns

作　　者：刘英慧 刘海涛[2] 付小艳 LIU Ying-hui;LIU Hai-tao;FU Xiao-yan(Hunan Food and Drug Vocational College,Changsha 410208;Department of Pharmacy,Xiangya Hospital,Central South University,Changsha 410008;Changsha Medical University,Changsha 410219)

机构地区：[1]湖南食品药品职业学院,长沙410208 [2]中南大学湘雅医院药学部,长沙410008 [3]长沙医学院,长沙410219

出　　处：《中南药学》2023年第3期790-795,共6页Central South Pharmacy

基　　金：湖南省教育厅科学研究项目(No.18C1509)。

摘　　要：目的基于前胡和紫花前胡指纹图谱结合化学模式识别技术,建立前胡和紫花前胡的分类识别模型。方法采用高效液相色谱法,以Venusil C_(18) Plus(250 mm×4.6 mm,5μm)为色谱柱;以乙腈(A)-水(B)为流动相梯度洗脱;检测波长334 nm;流速1.0 mL·min^(-1);柱温30℃;进样量10μL。采用聚类分析、主成分分析、样本判别分析等化学模式识别方法对数据进行分析。结果结合化学模式识别方法对同步建立的前胡和紫花前胡的HPLC指纹图谱数据分析表明,收集到的18批样本基本分为三类:前胡、紫花前胡以及其他。结论所建立的指纹图谱结合化学模式识别的方法可靠、简单易行,建立的分类识别模型可有效区分前胡和紫花前胡,并为两者各自的质量控制提供依据和参考。Objective To establish the classification and recognition model for Peucedanum praeruptorum Dunn and Peucedanum decursivum(Miq.)Maxim.based on HPLC fingerprints combined with chemical patterns.Methods Venusil C_(18) Plus(250 mm×4.6 mm,5μm)column was used with mobile phase consisting of acetonitrile and water(gradient elution)at the flow rate of 1.0 mL·min^(-1).The column temperature was 30℃and the detection wavelength was 334 nm.Cluster analysis,principal component analysis and discriminant analysis were conducted.Results The synchronously established HPLC fingerprints combined with chemical pattern recognition showed that 18 batches of samples included 3 kinds:Peucedanum praeruptorum Dunn,Peucedanum decursivum(Miq.)Maxim.and others.Conclusion HPLC fingerprints combined with chemical pattern recognition is reliable and simple.The established classification and recognition model can distinguish Peucedanum praeruptorum Dunn and Peucedanum decursivum(Miq.)Maxim.,and also can provide reference for their quality control.

关 键 词：前胡 紫花前胡 高效液相色谱 指纹图谱 化学模式识别 

分 类 号：R284.1[医药卫生—中药学]