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LC-MS/DIA-based strategy for comprehensive flavonoid profiling: an Ocotea spp. applicability case.
Alves, Matheus Fernandes; Katchborian-Neto, Albert; Bueno, Paula Carolina Pires; Carnevale-Neto, Fausto; Casoti, Rosana; Ferreira, Miller Santos; Murgu, Michael; de Paula, Ana Claudia Chagas; Dias, Danielle Ferreira; Soares, Marisi Gomes; Chagas-Paula, Daniela Aparecida.
Afiliação
  • Alves MF; Institute of Chemistry, Federal University of Alfenas-MG 37130-001 Alfenas Minas Gerais Brazil daniela.chagas@unifal-mg.edu.br.
  • Katchborian-Neto A; Institute of Chemistry, Federal University of Alfenas-MG 37130-001 Alfenas Minas Gerais Brazil daniela.chagas@unifal-mg.edu.br.
  • Bueno PCP; Leibniz Institute of Vegetable and Ornamental Crops (IGZ) Theodor-Echtermeyer-Weg 1 14979 Großbeeren Germany.
  • Carnevale-Neto F; Northwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington 850 Republican Street Seattle Washington 98109 USA.
  • Casoti R; Antibiotics Department, Federal University of Pernambuco 50670-901 Recife Pernambuco Brazil.
  • Ferreira MS; Institute of Chemistry, Federal University of Alfenas-MG 37130-001 Alfenas Minas Gerais Brazil daniela.chagas@unifal-mg.edu.br.
  • Murgu M; Waters Corporation Alameda Tocantins 125, Alphaville 06455-020 São Paulo Brazil.
  • de Paula ACC; Faculty of Pharmacy, Federal University of Juiz de Fora 36036-900 Juiz de Fora Minas Gerais Brazil.
  • Dias DF; Institute of Chemistry, Federal University of Alfenas-MG 37130-001 Alfenas Minas Gerais Brazil daniela.chagas@unifal-mg.edu.br.
  • Soares MG; Institute of Chemistry, Federal University of Alfenas-MG 37130-001 Alfenas Minas Gerais Brazil daniela.chagas@unifal-mg.edu.br.
  • Chagas-Paula DA; Institute of Chemistry, Federal University of Alfenas-MG 37130-001 Alfenas Minas Gerais Brazil daniela.chagas@unifal-mg.edu.br.
RSC Adv ; 14(15): 10481-10498, 2024 Mar 26.
Article em En | MEDLINE | ID: mdl-38567345
ABSTRACT
We introduce a liquid chromatography - mass spectrometry with data-independent acquisition (LC-MS/DIA)-based strategy, specifically tailored to achieve comprehensive and reliable glycosylated flavonoid profiling. This approach facilitates in-depth and simultaneous exploration of all detected precursors and fragments during data processing, employing the widely-used open-source MZmine 3 software. It was applied to a dataset of six Ocotea plant species. This framework suggested 49 flavonoids potentially newly described for these plant species, alongside 45 known features within the genus. Flavonols kaempferol and quercetin, both exhibiting O-glycosylation patterns, were particularly prevalent. Gas-phase fragmentation reactions further supported these findings. For the first time, the apigenin flavone backbone was also annotated in most of the examined Ocotea species. Apigenin derivatives were found mainly in the C-glycoside form, with O. porosa displaying the highest flavone flavonol ratio. The approach also allowed an unprecedented detection of kaempferol and quercetin in O. porosa species, and it has underscored the untapped potential of LC-MS/DIA data for broad and reliable flavonoid profiling. Our study annotated more than 50 flavonoid backbones in each species, surpassing the current literature.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: RSC Adv Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: RSC Adv Ano de publicação: 2024 Tipo de documento: Article