Identification and quality evaluation of Tripterygium wilfordii.
10.19540/j.cnki.cjcmm.20180510.005
- Author:
Ya-Ping DUAN
1
;
Jiao-Yang LUO
2
;
Xiao-Wen DOU
2
;
Liu HE
2
;
Kun-Lun LI
2
;
Shi-Hai YANG
1
;
Mei-Hua YANG
2
Author Information
1. College of Traditional Chinese Medicine, Jilin Agricultural University, Changchun 130118， China.
2. Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100193, China.
- Publication Type:Journal Article
- Keywords:
DNA barcoding;
HCA-cluster analysis;
LC-MS/MS;
Tripterygium wilfordii;
UPLC;
fingerprint
- From:
China Journal of Chinese Materia Medica
2018;43(15):3105-3114
- CountryChina
- Language:Chinese
-
Abstract:
With the extensive clinical application of Tripterygium wilfordii, there are many counterfeit products on the market. Traditional technology can not effectively identify the authenticity of the traditional Chinese medicine. Therefore, a strategy of accurate identification and quality evaluation of Tripterygium based on DNA barcode and chemical fingerprint spectrum was established. Based on DNA barcode technology, HMMer annotation method of hidden Markov model and K2P model were used to analyze genetic distance.BLAST1, nearest distance and phylogenetic tree (NJ-tree) methods were used to assess the identification efficiency of the ITS2 barcode. The fingerprint of 27 T. wilfordii was established by UPLC-PDA method, and the similarity of the fingerprint of different sources was evaluated. The main components of T. wilfordii were determined by LC-MS/MS. The results revealed that the intraspecific genetic distances of T. wilfordii were lower than the interspecific genetic distances between T. wilfordii and its adulterants. The results of similarity search showed that ITS2 sequence was used to identify T. wilfordii and its adulterants. The clustering of T. wilfordii and its adulterants was clear in the tree of NJ cluster, and 12 of 27 samples were identified as true T. wilfordii.The chemical fingerprint spectrum research indicates that the feature one region can distinguish the false product of tripterygium glycosides more intuitively. The cluster analysis of HCA-thermal map showed that the contents of six active components of T. wilfordii from different habitats were significantly different, which could be used to evaluate the quality of T. wilfordii. This paper is of guiding significance for the accurate identification and quality evaluation of Tripterygium medicinal plants.
