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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.)

Phenolic Profiling of Medicinal Species of Chuquiraga, Asteraceae, by HPLC Fingerprinting

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Author(s):
Ccana-Ccapatinta, V, Gari ; Padilla-Gonzalez, Guillermo F. [1] ; Ferreira, Paola L. [2] ; Monge, Marcelo [3] ; Casoti, Rosana [1] ; Corradin, Marina D. [1] ; Semir, Joao [3] ; Groppo, Milton [2] ; Da Costa, Fernando B. [3]
Total Authors: 9
Affiliation:
[1] Ccana-Ccapatinta, Gari, V, Univ Sao Paulo, Fac Ciencias Farmaceut Ribeirao Preto, Lab Farmacognosia, Ribeirao Preto, SP - Brazil
[2] Univ Sao Paulo, Fac Filosofia Ciencias & Letras Ribeirao Preto, Dept Biol, Ribeirao Preto, SP - Brazil
[3] Univ Estadual Campinas, Inst Biol, Campinas, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: REVISTA BRASILEIRA DE FARMACOGNOSIA-BRAZILIAN JOURNAL OF PHARMACOGNOSY; v. 31, n. 5 SEP 2021.
Web of Science Citations: 1
Abstract

Species of the genus Chuquiraga Juss., Asteraceae, Barnadesioideae, are widely marketed in South America as medicinal plants, despite their relatively uncharacterized phytochemistry. The present study aimed to profile phenolic compounds in commercial samples of three Chuquiraga species (C. jussieui J.F.Gmel., C. spinosa Less., and C. weberbaueri Tovar) from Ecuador and Peru by a high-performance liquid chromatography with diode array detection fingerprinting method combined with multivariate statistical analyses for species classification. From the obtained HPLC fingerprint chromatograms, the traces at 270 nm were selected and submitted to time shifts of peak corrections using the parametric time warping algorithm. Hierarchical clustering analysis, principal components analysis, orthogonal partial least squares discriminant analysis, and k-nearest neighbor measurements were used to evaluate similarities and establish classification models for species discrimination. Based on these analyses, a high percentage of correct classifications (between 83 and 100%) allowed the prediction of the taxonomic identity of unlabeled commercial samples and its geographical origin. Acetophenones (p-hydroxyacetophenone, p-hydroxyacetophenone 4-O-glucoside, p-hydroxyacetophenone 4-O-(6-O-apiosyl)-glucoside), phenylpropanoids (3-O-caffeoylquinic acid, 5-O-caffeoylquinic acid), and flavonoids (quercetin 3-O-rutinoside, quercetin 3-O-glucoronide, kaempferol 3-O-rutinoside) were identified as main constituents of the investigated species. (AU)

FAPESP's process: 14/16850-6 - Metabolomic and chemometric approach for the study of chemotaxonomy, authentication and quality control of the species of the subfamily Barnadesioideae (Asteraceae)
Grantee:Gari Vidal Ccana Ccapatinta
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 14/26866-7 - Metabolomics, enzymatic targets and in silico tools in the search of bioactive compounds from plants
Grantee:Fernando Batista da Costa
Support Opportunities: Regular Research Grants