ABSTRACT
In this study, the flow injection (FI) technology combined with the unique step wise multiple ions monitoring scanning (step-wise MIM) mode of Qtrap-MS was first established for the identification and discrimination of eight Murraya species. It only takes 5 min for each sample to detect approximate 600 compounds. The characteristic MS chromatograms of eight Murraya plants were analyzed by Analyst and SIMCA-P. The results of PCA showed that sect. Murraya and sect. Bergera were clearly divided into two categories, suggesting that there is difference in the chemical compositions between these two groups. Further detail analysis of the MS data could realize the preliminary structure elucidation of the component types contained in different plants. The main components in M. exotica and M. alata are coumarins, and polymethoxyflavones are rich in M. paniculata, while carbazole alkaloids are the major ones in sect. Bergera plants. The results are consistent with our previous comprehensive analysis of the chemical components of Murraya species. In conclusion, our research confirmed that FI-Qtrap-MS technology can be used for rapid identification and differentiation of similar plant species, providing reference for chemical taxonomy and a new method for the quality evaluation of medicinal materials.
ABSTRACT
There are two source plants for the traditional Chinese medicine Murrayae Folium et Cacumen (MFC) in Chinese Pharmacopoeia, i.e. Murraya exotica L. and M. paniculata (L.) Jack. Herein, a chemical comparison of M. exotica and M. paniculata by high performance liquid chromatography (HPLC) fingerprint analysis coupled with chemometrics and network pharmacology was performed. The main peaks in the fingerprints were identified by liquid chromatography coupled with ion trap/time-of-flight mass spectrometry (LC-IT-TOF-MS) and authenticated by references. The chemometrics results showed that the HPLC fingerprints of these two species were clearly divided into two categories using hierarchical cluster analysis (HCA) and principal component analysis (PCA), and a total of 13 significantly differentiated markers were screened out by orthogonal partial least squares-discriminant analysis (OPLS-DA). However, the following network pharmacology analysis showed that these discriminated markers were found to act via many common targets and metabolic pathways, indicating the possibly similar pharmacological effects and mechanisms for M. exotica and M. paniculata. The above results provide valuable evidence for the equivalent use of these two plants in clinical settings. Moreover, the chromatographic fingerprint analysis coupled with chemometrics and network pharmacology supplies an efficient approach for the comparative analysis of multi-source TCMs like MFC.