Microbial diversity and metabolic inference of diclofenac removal in optimised batch heterotrophic-denitrifying conditions by means of factorial design.

Pirete, Luciana de Melo; Camargo, Franciele Pereira; Grosseli, Guilherme M; Sakamoto, Isabel K; Fadini, Pedro S; Silva, Edson Luiz; Varesche, Maria Bernadete Amâncio

Pirete, Luciana de Melo; Camargo, Franciele Pereira; Grosseli, Guilherme M; Sakamoto, Isabel K; Fadini, Pedro S; Silva, Edson Luiz; Varesche, Maria Bernadete Amâncio.

Afiliação

Pirete LM; Department of Hydraulics and Sanitation, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil.
Camargo FP; Department of Hydraulics and Sanitation, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil.
Grosseli GM; Federal University of São Carlos, São Carlos, Brazil.
Sakamoto IK; Department of Hydraulics and Sanitation, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil.
Fadini PS; Federal University of São Carlos, São Carlos, Brazil.
Silva EL; Federal University of São Carlos, São Carlos, Brazil.
Varesche MBA; Department of Hydraulics and Sanitation, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil.

Environ Technol ; : 1-20, 2023 Apr 05.

Article em En | MEDLINE | ID: mdl-36927407

Palavras-chave

Emerging organic micropollutants; Pharmaceuticals; drugs; response surface methodology; rotational central composite design

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Environ Technol Assunto da revista: SAUDE AMBIENTAL / TOXICOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido

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