| Abstrakt: |
Introduction: Species of Connaraceae are globally used in traditional medicines. However, several of these have not been studied regarding their chemical composition, and some are even at risk of extinction without proper studies. Therefore, the chemical composition and pharmacological potential of Connarus blanchetii Planch., Connarus nodosus Baker, Connarus regnellii G. Schellenb., and Connarus suberosus Planch., which were previously unknown, were analyzed. Objective: This work aims to investigate the pharmacological potential of these four Connarus species. The chemical composition of different extracts was determined by high‐resolution mass spectrometry (HRMS), with subsequent analysis by the GNPS platform and competitive fragmentation modeling (CFM). Materials and methods: Leaf extracts (C. blanchetii, C. nodosus, C. regnellii, and C. suberosus) and bark extracts (C. regnellii and C. suberosus) were obtained by decoction, infusion, and maceration. LC/HRMS data were submitted to the GNPS platform and evaluated using CFM in order to confirm the structures. Results: The HRMS–GNPS/CFM analysis indicated the presence of 23 compounds that were mainly identified as phenolic derivatives from quercetin and myricetin, of which 21 are unedited in the Connarus genus. Thus, from the analyses performed, we can identify different compounds with pharmacological potential, as well as the most suitable forms of extraction. Conclusion: Using HRMS–GNPS/CFM, 21 unpublished compounds were identified in the studied species. Therefore, our combination of data analysis techniques can be used to determine their chemical composition. The chemical composition of different extracts (decoction, infusion and maceration) of the Connarus blanchetii, Connarus nodosus, Connarus regnellii and Connarus suberosus were determined by HRMS, with subsequent analysis in the GNPS and CFM‐ID. The results indicated the presence of 23 compounds that were mainly identified as phenolics derivatives from quercetin and myricetin among them 21 unpublished compounds were indicated in this family. Therefore, our combination of data analysis techniques can be used to determine their chemical composition and reveal its pharmacological potential. [ABSTRACT FROM AUTHOR] |
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