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Prediction of the Formation of Biogenic Nonextractable Residues during Degradation of Environmental Chemicals from Biomass Yields.
Trapp, Stefan; Brock, Andreas Libonati; Nowak, Karolina; Kästner, Matthias.
Afiliação
  • Trapp S; Department of Environmental Engineering, Technical University of Denmark , Bygningstorvet bd. 115, DK-2800 Kgs. Lyngby, Denmark.
  • Brock AL; Department of Environmental Engineering, Technical University of Denmark , Bygningstorvet bd. 115, DK-2800 Kgs. Lyngby, Denmark.
  • Nowak K; Helmholtz-Centre for Environmental Research - UFZ , Department of Environmental Biotechnology, Permoserstrasse 15, 04318 Leipzig, Germany.
  • Kästner M; Helmholtz-Centre for Environmental Research - UFZ , Department of Environmental Biotechnology, Permoserstrasse 15, 04318 Leipzig, Germany.
Environ Sci Technol ; 52(2): 663-672, 2018 01 16.
Article em En | MEDLINE | ID: mdl-29214805
ABSTRACT
Degradation tests with radio or stable isotope labeled compounds enable the detection of the formation of nonextractable residues (NER). In PBT and vPvB assessment, remobilisable NER are considered as a potential risk while biogenic NER from incorporation of labeled carbon into microbial biomass are treated as degradation products. Relationships between yield, released CO2 (as indicator of microbial activity and mineralization) and microbial growth can be used to estimate the formation of biogenic NER. We provide a new approach for calculation of potential substrate transformation to microbial biomass (theoretical yield) based on Gibbs free energy and microbially available electrons. We compare estimated theoretical yields of biotechnological substrates and of chemicals of environmental concern with experimentally determined yields for validation of the presented approach. A five-compartment dynamic model is applied to simulate experiments of 13C-labeled 2,4-D and ibuprofen turnover. The results show that bioNER increases with time, and that most bioNER originates from microbial proteins. Simulations with precalculated input data demonstrate that precalculation of yields reduces the number of fit parameters considerably, increases confidence in fitted kinetic data, and reduces the uncertainty of the simulation results.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes do Solo Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Poluentes do Solo Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article