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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

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

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Autor(es):
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]
Número total de Autores: 9
Afiliação do(s) autor(es):
[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
Número total de Afiliações: 3
Tipo de documento: Artigo Científico
Fonte: REVISTA BRASILEIRA DE FARMACOGNOSIA-BRAZILIAN JOURNAL OF PHARMACOGNOSY; v. 31, n. 5 SEP 2021.
Citações Web of Science: 1
Resumo

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)

Processo FAPESP: 14/16850-6 - Abordagem metabolômica e quimiométrica para o estudo da quimiotaxonômia, autenticação e controle de qualidade das espécies da subfamília Barnadesioideae (Asteraceae)
Beneficiário:Gari Vidal Ccana Ccapatinta
Modalidade de apoio: Bolsas no Brasil - Doutorado
Processo FAPESP: 14/26866-7 - Metabolômica, alvos enzimáticos e ferramentas in silico na busca por substâncias bioativas de plantas
Beneficiário:Fernando Batista da Costa
Modalidade de apoio: Auxílio à Pesquisa - Regular