ABSTRACT
A rapid and accurate method of UFLC-Q-TOF-MS/MS combined with multivariate statistical analysis was established for the identification of Ainsliaea fragrans from different origins in this study. The A. fragrans from different producing areas of Jiangxi, Yunnan, Henan and Jiangsu were determined by UFLC-Q-TOF-MS/MS in the negative ion mode. And the data of the study were analyzed by the Markerview and other software for the PCA and OPLS-DA cluster analysis as well as t test. The results of the principal component analysis(PCA)showed that the main components from different origins were well distinguished. And the results of multivariate statistical showed the differences and similarities between different producing areas. Besides, 40 different compounds were identified in the negative ion mode. This method for identifying A. fragrans from different producing areas has the advantages of rapid accuracy and simplicity, which laid the foundation for the evaluation of the quality of the A. fragrans.