Modeling anaerobic digestion metabolic pathways for antibiotic-contaminated wastewater treatment

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...

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Bibliographic Details
Published in:Biodegradation (Dordrecht) 2020-12, Vol.31 (4-6), p.341-368
Main Authors: Fonseca, Rafael Frederico, de Oliveira, Guilherme Henrique Duarte, Zaiat, Marcelo
Format: Article
Language:English
Subjects:
Acetic acid
Acid production
Anaerobic digestion
Anaerobic processes
Anaerobic treatment
Anaerobiosis
Analysis
Anti-Bacterial Agents
Antibiotics
Aquatic Pollution
Bacteria, Anaerobic
Biodegradation
Biodegradation, Environmental
Biomedical and Life Sciences
Bioreactors
Carbohydrates
Contamination
Digestion
Geochemistry
Hydrodynamics
Kinetics
Life Sciences
Mathematical models
Metabolic Networks and Pathways
Metabolic pathways
Metabolism
Microbiology
Microorganisms
Modelling
Organic acids
Original Paper
Porosity
Proteins
Purification
Removal
Sewage
Soil Science & Conservation
Sulfamethazine
Terrestrial Pollution
Waste Disposal, Fluid
Waste Management/Waste Technology
Waste Water Technology
Wastewater pollution
Wastewater treatment
Water Management
Water Pollution Control
Water Purification
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Summary: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.
ISSN:0923-9820
1572-9729
DOI:10.1007/s10532-020-09914-x