Padilla-González, Guillermo Frederico 
; Sadgrove, Nicholas J.; Ccana-Ccapatinta, Gari V. ; Leuner, Olga; Fernandez-Cusimamani, Eloy
Fonte: Metabolites. Unidade: FCFRP
Assuntos: METABOLÔMICA, METABÓLITOS, PLANTAS COMESTÍVEIS, ANTIOXIDANTES
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PADILLA-GONZÁLEZ, Guillermo Frederico et al. Feature-based molecular networking to target the isolation of new caffeic acid esters from yacon (Smallanthus sonchifolius, Asteraceae). Metabolites, v. 10, n. 10, p. 1-13, 2020Tradução . . Disponível em: https://doi.org/10.3390/metabo10100407. Acesso em: 30 set. 2024.APA
Padilla-González, G. F., Sadgrove, N. J., Ccana-Ccapatinta, G. V., Leuner, O., & Fernandez-Cusimamani, E. (2020). Feature-based molecular networking to target the isolation of new caffeic acid esters from yacon (Smallanthus sonchifolius, Asteraceae). Metabolites, 10( 10), 1-13. doi:10.3390/metabo10100407NLM
Padilla-González GF, Sadgrove NJ, Ccana-Ccapatinta GV, Leuner O, Fernandez-Cusimamani E. Feature-based molecular networking to target the isolation of new caffeic acid esters from yacon (Smallanthus sonchifolius, Asteraceae) [Internet]. Metabolites. 2020 ; 10( 10): 1-13.[citado 2024 set. 30 ] Available from: https://doi.org/10.3390/metabo10100407Vancouver
Padilla-González GF, Sadgrove NJ, Ccana-Ccapatinta GV, Leuner O, Fernandez-Cusimamani E. Feature-based molecular networking to target the isolation of new caffeic acid esters from yacon (Smallanthus sonchifolius, Asteraceae) [Internet]. Metabolites. 2020 ; 10( 10): 1-13.[citado 2024 set. 30 ] Available from: https://doi.org/10.3390/metabo10100407
