A complementary chromatographic strategy for integrated components characterization of Imperatae Rhizoma based on convergence and liquid chromatography combined with mass spectrometry and molecular network

• Published in: Journal of Chromatography A Vol. 1678; p. 463342
• Main Authors: Wang, Yu, Ju, Zhengcai, Li, Linnan, Zhang, Ting, Zhang, Siyu, Ding, Lili, Zhan, Changsen, Wang, Zhengtao, Yang, Li
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 16.08.2022
• Subjects: Compounds characterization; FBMN; Imperatae Rhizoma; UPCC-QTOF-MS; UPLC-QTOF-MS; Imperatae Rhizoma; UPCC-QTOF-MS; Compounds characterization; FBMN; UPLC-QTOF-MS
• ISSN: 0021-9673
• DOI: 10.1016/j.chroma.2022.463342

•Complementary advantages of UPCC and UPLC were combined in the herbal analysis.•Comprehensive and systematic characterization of Imperatae Rhizoma was achieved.•The UNIFI platform was applied for untargeted screening.•Molecular networking was clustered for compound classification and annotation. The complexity of natural ingredients and the diversity of preparations are the major obstacles to the quality evaluation of traditional Chinese medicines (TCMs). A more comprehensive characterization of herbal compounds using different types of chromatographic separation techniques and covering a diverse polarity range can help evaluate the quality of TCMs. In this study, we first proposed a comprehensive method for characterizing compounds derived from Imperatae Rhizoma by combining the complementary strengths of UPCC-QTOF-MS (ultra-performance convergence chromatography coupled with quadrupole-time of flight mass spectrometry) with UPLC-QTOF-MS (ultra-performance liquid chromatography coupled with quadrupole-time of flight mass spectrometry). The method based on the UNIFI scientific platform significantly shortened the analysis time and enabled a more comprehensive characterization of known and unreported compounds. Meanwhile, a feature-based molecular network (FBMN) was established on the Global Natural Product Social (GNPS) to infer potential compounds by rapidly classifying and visualizing these components. A total of 62 compounds in Imperatae Rhizoma were jointly characterizedand classified into six types. In comparison, the UPCC-QTOF-MS technology individually characterized 17 components, including lactones, phenols, aldehydes, phenylpropanoids, and small polar organic acids. The UPLC-QTOF-MS technology characterized 16 compounds mainly phenylpropionic acids, flavonoid glycosides, and chromone glycosides. Furthermore, three types of characteristic compounds could be well aggregated into an FBMN approach. Five possible potential new compounds were detected through the supplementary identification of GNPS and the correlation analysis of vicinal known compounds. The strategy was first applied to Imperatae Rhizoma and facilitated the characterization of a large quantity of data to provide comprehensive chemical composition results. This approach can be easily extended to the study of the material basis of other herbs or preparations in order to improve the accuracy of herb quality evaluation.