Rapid identification on chemical constituents in roots of Paeonia delavayi var. lutea by UPLC-Q-TOF-MSE combined with UNIFI informatics platform / 中草药

Objective: To rapidly identify the chemical constituents of Paeonia delavayi var. lutea roots by ultra-high performance liquid coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MSE) and UNIFI informatics platform. Methods: Time-dependent MSE data-acquistion mode was applied to acquire mass spectrometric data, and then the chemical constituents were identified by automatic identification and artificial identification. Results: Totally 57 compounds were identified, including monoterpene glycosides, phenolic acids, tannins, paeonols, and triterpenes. Conclusion: UPLC-Q-TOF-MSE combined with UNIFI database could be used to rapidly and comprehensively characterize the chemical constituents of P. delavayi var. lutea roots. This study provides a reference for quality control of P. delavayi var. lutea roots and clarifying the material basis of its efficacy.

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

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.