2021
DOI: 10.1002/pca.3043
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Dereplication of phenolic derivatives of three Erythroxylum species using liquid chromatography coupled with ESI‐MSn and HRESIMS

Abstract: Introduction: Given the diversity of secondary metabolites produced by species of the genus Erythroxylum, in addition to the many methods that have already been described in the literature, modern screening and identification methodologies, such as dereplication, represent an efficient and quick strategy compared to the classic techniques linked to natural product research. Objective: The objective of the present study was to determine the phenolic profiles obtained from three species of Erythroxylum (Erythrox… Show more

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Cited by 8 publications
(7 citation statements)
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References 56 publications
(38 reference statements)
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“…The ion at m / z 231 was generated by a second neutral loss of catechol (110 Da). Comparing the tandem mass spectrometry information with data previously published [ 39 , 40 , 41 ], the compounds 31a and 31b were identified as cinchonain I isomers ( Figure 8 ).…”
Section: Resultsmentioning
confidence: 61%
“…The ion at m / z 231 was generated by a second neutral loss of catechol (110 Da). Comparing the tandem mass spectrometry information with data previously published [ 39 , 40 , 41 ], the compounds 31a and 31b were identified as cinchonain I isomers ( Figure 8 ).…”
Section: Resultsmentioning
confidence: 61%
“…3,4 This genus is characterized by tropane alkaloids as the main phytochemical markers, although other classes of secondary metabolites, including flavonoids, phenolic acids, triterpenes and diterpenes, are common in the species. 5,6 Currently, a total of 383 compounds have been described in Erythroxylum species, the vast majority being tropane alkaloids, about 197 of these metabolites. 7 Great attention was given to the genus in the 19th century, with the species Erythroxylum coca Lam., due to the presence of cocaine, a tropanic alkaloid that has psychoactive action on the central nervous system and quickly develops dependence.…”
Section: Introductionmentioning
confidence: 99%
“…Erythroxylum species can be found in different biomes in Brazil, and 128 taxa have been catalogued, distributed from regions with closed and humid vegetation such as the Amazon forest to semiarid regions such as the caatinga, the latter grouping 78 species, 34 of which are endemic 3,4 . This genus is characterized by tropane alkaloids as the main phytochemical markers, although other classes of secondary metabolites, including flavonoids, phenolic acids, triterpenes and diterpenes, are common in the species 5,6 …”
Section: Introductionmentioning
confidence: 99%
“…After living cell biospecific extraction, HPLC–quadrupole time‐of‐flight–MS/MS (HPLC‐QTOF‐MS/MS) plays an increasingly critical role in the analysis and identification of bioactive compounds 17–19 . However, overwhelming amounts of MS datasets are generated, which makes manual data analysis challenging, especially for achieving MS information of low‐abundance compounds being overwhelmed by major compounds or background noise 20 . To facilitate and simplify post‐acquisition MS data processing, various data mining technologies have been developed with excellent resolution, high sensitivity, outstanding selectivity, and excellent accuracy, such as neutral loss filtering, diagnostic ion filtering, de novo identification, mass defect filtering, isotope pattern filtering, predicted compound screening, and database‐assisted peak annotation 21–24 .…”
Section: Introductionmentioning
confidence: 99%
“…[17][18][19] However, overwhelming amounts of MS datasets are generated, which makes manual data analysis challenging, especially for achieving MS information of low-abundance compounds being overwhelmed by major compounds or background noise. 20 To facilitate and simplify post-acquisition MS data processing, various data mining technologies have been developed with excellent resolution, high sensitivity, outstanding selectivity, and excellent accuracy, such as neutral loss filtering, diagnostic ion filtering, de novo identification, mass defect filtering, isotope pattern filtering, predicted compound screening, and database-assisted peak annotation. [21][22][23][24] To date, only strategies with PMF aglycone-oriented extraction and mass defect filtering have been established to screen PMFs in Citrus aurantium, Murraya paniculata, Murraya exotica, and C. reticulata Blanco, and their structures were identified by MS/MS spectra with diagnostic product ions.…”
Section: Introductionmentioning
confidence: 99%