Comparative study on multiple chemical pattern recognition combined with fingerprint of Tetrastigma hemsleyanum from different habitats
10.7501/j.issn.0253-2670.2020.01.026
- Author:
Shi-Min LI
1
Author Information
1. Zhejiang Pharmaceutical College
- Publication Type:Journal Article
- Keywords:
Astragalin;
Chemical pattern recognition;
Chlorogenic acid;
Fingerprint;
HPLC;
Kaempferol;
Kaempferol-3-O-rutinoside;
Polydatin;
Random forest;
Resveratrol;
Tetrastigma hemsleyanum Diels et Gilg
- From:
Chinese Traditional and Herbal Drugs
2020;51(1):197-203
- CountryChina
- Language:Chinese
-
Abstract:
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.
