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Modeling anaerobic digestion metabolic pathways for antibiotic-contaminated wastewater treatment.
Fonseca, Rafael Frederico; de Oliveira, Guilherme Henrique Duarte; Zaiat, Marcelo.
Afiliação
  • Fonseca RF; Biological Processes Laboratory, Center for Research, Development and Innovation in Environmental Engineering, São Carlos School of Engineering (EESC), University of São Paulo (USP), Engenharia Ambiental - Bloco 4-F, Av. João Dagnone, 1100 - Santa Angelina, São Carlos, SP, 13.563-120, Brazil. rfrederico@gmail.com.
  • de Oliveira GHD; Biological Processes Laboratory, Center for Research, Development and Innovation in Environmental Engineering, São Carlos School of Engineering (EESC), University of São Paulo (USP), Engenharia Ambiental - Bloco 4-F, Av. João Dagnone, 1100 - Santa Angelina, São Carlos, SP, 13.563-120, Brazil.
  • Zaiat M; Biological Processes Laboratory, Center for Research, Development and Innovation in Environmental Engineering, São Carlos School of Engineering (EESC), University of São Paulo (USP), Engenharia Ambiental - Bloco 4-F, Av. João Dagnone, 1100 - Santa Angelina, São Carlos, SP, 13.563-120, Brazil.
Biodegradation ; 31(4-6): 341-368, 2020 12.
Article em En | MEDLINE | ID: mdl-33040265
ABSTRACT
Anaerobic digestion has been used to treat antibiotic-contaminated wastewaters. However, it is not always effective, since biodegradation is the main removal mechanism and depends on the compound chemical characteristics and on how microbial metabolic pathways are affected by the reactor operational conditions and hydrodynamic characteristics. The aim of this study was to develop a mathematical model to describe 16 metabolic pathways of an anaerobic process treating sulfamethazine-contaminated wastewater. Contois kinetics and a useful reaction volume term were used to represent the biomass concentration impact on bed porosity in a N continuously stirred tank modeling approach. Two sulfamethazine removal hypotheses were evaluated an apparent enzymatic reaction and a cometabolic degradation. Additionally, long-term modeling was developed to describe how the operational conditions affected the performance of the process. The best degradation correlations were associated with the consumption of carbohydrates, proteins and it was inversely related to acetic acid production during acidogenesis.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Purificação da Água / Reatores Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: Biodegradation Assunto da revista: BIOQUIMICA / SAUDE AMBIENTAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Purificação da Água / Reatores Biológicos Tipo de estudo: Prognostic_studies Idioma: En Revista: Biodegradation Assunto da revista: BIOQUIMICA / SAUDE AMBIENTAL Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil