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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Integrated Analytical Tools for Accessing Acridones and Unrelated Phenylacrylamides from Swinglea glutinosa

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de Carvalho, Ana Calheiros [1] ; Rodrigues, Luiza De Camillis [2] ; Ribeiro, Alany Ingrid [3] ; Gracas Fernandes da Silva, Maria Fatima S. [3] ; de Medeiros, Livia Soman [2] ; Moura Veiga, Thiago Andre [2]
Total Authors: 6
[1] Univ Fed Sao Paulo, Dept Chem, Programa Posgrad Biol Quim, BR-09972270 Diadema, SP - Brazil
[2] Univ Fed Sao Paulo, Dept Chem, BR-09972270 Diadema, SP - Brazil
[3] Univ Fed Sao Carlos, Dept Chem, BR-13565905 Sao Carlos, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: Molecules; v. 25, n. 1 JAN 2020.
Web of Science Citations: 0

In natural product studies, the purification of metabolites is an important challenge. To accelerate this step, alternatives such as integrated analytical tools should be employed. Based on this, the chemical study of Swinglea glutinosa (Rutaceae) was performed using two rapid dereplication strategies: Target Analysis (Bruker Daltonics (R), Bremen, Germany) MS data analysis combined with MS/MS data obtained from the GNPS platform. Through UHPLC-HRMS data, the first approach allowed, from crude fractions, a quick and visual identification of compounds already reported in the Swinglea genus. Aside from this, by grouping compounds according to their fragmentation patterns, the second approach enabled the detection of eight molecular families, which presented matches for acridonic alkaloids, phenylacrylamides, and flavonoids. Unrelated compounds for S. glutinosa have been isolated and characterized by NMR experiments, Lansamide I, Lansiumamide B, Lansiumamide C, and N-(2-phenylethyl)cinnamamide. (AU)

FAPESP's process: 18/04095-0 - Analytical Approaches for Discovering Unknown Cytotoxic Compounds from Plants
Grantee:Thiago André Moura Veiga
Support Opportunities: Regular Research Grants