Source: Environmental Technology. Unidade: EESC
Subjects: TRATAMENTO DE ÁGUAS RESIDUÁRIAS, FÁRMACOS, DESNITRIFICAÇÃO, ENGENHARIA HIDRÁULICA
ABNT
PIRETE, Luciana de Melo et al. Microbial diversity and metabolic inference of diclofenac removal in optimised batch heterotrophic-denitrifying conditions by means of factorial design. Environmental Technology, p. 1-21, 2023Tradução . . Disponível em: https://doi.org/10.1080/09593330.2023.2192365. Acesso em: 17 ago. 2024.APA
Pirete, L. de M., Camargo, F. P., Grosseli, G. M., Sakamoto, I. K., Fadini, P. S., Silva, E. L., & Varesche, M. B. A. (2023). Microbial diversity and metabolic inference of diclofenac removal in optimised batch heterotrophic-denitrifying conditions by means of factorial design. Environmental Technology, 1-21. doi:10.1080/09593330.2023.2192365NLM
Pirete L de M, Camargo FP, Grosseli GM, Sakamoto IK, Fadini PS, Silva EL, Varesche MBA. Microbial diversity and metabolic inference of diclofenac removal in optimised batch heterotrophic-denitrifying conditions by means of factorial design [Internet]. Environmental Technology. 2023 ; 1-21.[citado 2024 ago. 17 ] Available from: https://doi.org/10.1080/09593330.2023.2192365Vancouver
Pirete L de M, Camargo FP, Grosseli GM, Sakamoto IK, Fadini PS, Silva EL, Varesche MBA. Microbial diversity and metabolic inference of diclofenac removal in optimised batch heterotrophic-denitrifying conditions by means of factorial design [Internet]. Environmental Technology. 2023 ; 1-21.[citado 2024 ago. 17 ] Available from: https://doi.org/10.1080/09593330.2023.2192365