Lima, G.S.; Lima, N.M.; Roque, J.V.; de Aguiar, D.V.A.; Oliveira, J.V.A.; dos Santos, G.F.; Chaves, A.R.; Vaz, B.G.
LC-HRMS/MS-Based Metabolomics Approaches Applied to the Detection of Antifungal Compounds and a Metabolic Dynamic Assessment of Orchidaceae. Molecules 2022, 27, 7937.
https://doi.org/10.3390/molecules27227937
AMA Style
Lima GS, Lima NM, Roque JV, de Aguiar DVA, Oliveira JVA, dos Santos GF, Chaves AR, Vaz BG.
LC-HRMS/MS-Based Metabolomics Approaches Applied to the Detection of Antifungal Compounds and a Metabolic Dynamic Assessment of Orchidaceae. Molecules. 2022; 27(22):7937.
https://doi.org/10.3390/molecules27227937
Chicago/Turabian Style
Lima, Gesiane S., Nerilson M. Lima, Jussara V. Roque, Deborah V. A. de Aguiar, João V. A. Oliveira, Gabriel F. dos Santos, Andrea R. Chaves, and Boniek G. Vaz.
2022. "LC-HRMS/MS-Based Metabolomics Approaches Applied to the Detection of Antifungal Compounds and a Metabolic Dynamic Assessment of Orchidaceae" Molecules 27, no. 22: 7937.
https://doi.org/10.3390/molecules27227937
APA Style
Lima, G. S., Lima, N. M., Roque, J. V., de Aguiar, D. V. A., Oliveira, J. V. A., dos Santos, G. F., Chaves, A. R., & Vaz, B. G.
(2022). LC-HRMS/MS-Based Metabolomics Approaches Applied to the Detection of Antifungal Compounds and a Metabolic Dynamic Assessment of Orchidaceae. Molecules, 27(22), 7937.
https://doi.org/10.3390/molecules27227937