基于多模式识别结合指纹图谱的三叶青产地鉴别比较研究

Comparative study on multiple chemical pattern recognition combined with fingerprint of Tetrastigma hemsleyanum from different habitats

目的比较不同模式识别方法结合化学指纹图谱对不同产地三叶青Tetrastigma hemsleyanum的鉴别效果,提出三叶青产地鉴别的新方法。方法收集浙江、云南和贵州3个产区的72批三叶青样品,采集HPLC指纹图谱,标注18个共有峰,比较主成分分析、正交偏最小二乘法-判别分析和随机森林算法在处理不同产地样品复杂数据中的差异效果。结果72批三叶青样品经主成分分析只能分为2类,正交偏最小二乘法-判别分析的结果优于主成分分析,随机森林法能将3个产区的样品完全分开。利用随机森林算法结合指纹图谱能有效地对不同产区的三叶青进行鉴别和区分。结论本研究可作为三叶青产区和质量控制的有效方法,为多指标的复杂指纹图谱鉴别不同产地药材提供有效的参考。

Objective To compare the identification effects of different pattern recognition methods combined with chemical fingerprints on Tetrastigma hemsleyanum from different habitats,and propose a new identification method for the habitats of T.hemsleyanum.Methods A total of 72 batches of T.hemsleyanum samples were collected from Zhejiang,Yunnan and Guizhou.HPLC fingerprints were collected,18 common peaks were marked,and the difference of principal component analysis(PCA),orthogonal partial least squares-discriminant analysis(OPLS-DA)and random forest(RF)in processing complex data of samples from different habitats was compared.Results A total of 72 batches of T.hemsleyanum samples can only be divided into two categories by PCA,the results of OPLS were better than PCA,and the RF can completely separate the samples from three habitats.The RF combined with fingerprint can effectively identify and distinguish T.hemsleyanum from different habitats.Conclusion This study can be used as an effective method for the quality control of T.hemsleyanum from different habitats and provide an effective reference for multi-index complex fingerprint identification from different habitats.