Difference analysis of chemical compositions in Moutan Cortex from different origins by UPLC-Q-TOF-MS / 中草药

ABSTRACT

Objective: To identify and analyze the components of Moutan Cortex from different origins by UPLC-Q-TOF-MS technology. Methods: UPLC-Q-TOF-MS technology combined with chemical composition database was used to identify and analyze the components of Moutan Cortex. The results were analyzed and verified by multivariate statistical analysis and the biomarkers were identified. Results: The 37 components were identified in Moutan Cortex, the major components were galloyl glucoses, benzoic acids, paeonols, peoniflorins, and flavonoids. There were certain differences in the composition and content of Moutan Cortex from different origins. The medicinal materials from different origins were clustered into different groups respectively by principal component analysis (PCA). Five biomarkers were collected by partial least squares-discriminant analysis (PLS-DA) model and orthogonal partial least squares-discriminant analysis (OPLS-DA). Conclusion: The experimental results provide a theoretical basis for understanding chemical material basis and quality evaluation of Moutan Cortex, also provide the basis for the development of Chinese medicinal materials specifications and grades.