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Modeling anaerobic digestion metabolic pathways for antibiotic-contaminated wastewater treatment
Biodegradation ( IF 3.6 ) Pub Date : 2020-10-11 , DOI: 10.1007/s10532-020-09914-x
Rafael Frederico Fonseca , Guilherme Henrique Duarte de Oliveira , Marcelo Zaiat

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.



中文翻译:

模拟厌氧消化代谢途径以处理被抗生素污染的废水

厌氧消化已被用于处理被抗生素污染的废水。然而,由于生物降解是主要的去除机理,并且取决于化合物的化学特性以及反应器的运行条件和流体动力学特性如何影响微生物的代谢途径,因此它并不总是有效的。这项研究的目的是建立一个数学模型来描述厌氧过程中磺胺二甲嘧啶污染的废水的16种代谢途径。在连续搅拌的N槽模拟方法中,使用Contois动力学和有用的反应体积术语表示生物质浓度对床孔隙率的影响。评价了两种磺胺二甲嘧啶去除假说:表观酶促反应和可代谢降解。另外,开发了长期建模来描述操作条件如何影响过程的性能。最佳的降解相关性与碳水化合物,蛋白质的消耗有关,并且与产酸过程中的乙酸产生成反比。

更新日期:2020-10-11
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