Predicting the fate of micropollutants during wastewater treatment: Calibration and sensitivity analysis

Baalbaki, Zeina; Torfs, Elena; Yargeau, Viviane; Vanrolleghem, Peter

doi:10.1016/j.scitotenv.2017.05.072

Cited by 16 publications

(2 citation statements)

References 48 publications

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“…Their chemical structures (e.g., benzene and isoxazole ring in sulfamethoxazole, cyclohexane ring in gabapentin) and potential toxicity to microorganisms 50 could retard the biotransformation. Caffeine has been reported to be an easily degradable compound with high removal efficiency in WWTP 51 , bioreactors 52 , managed aquifer recharge 23 and diverse microbial strains 53 . Surprisingly, in the present study, only one model community E5 can degrade 100% of caffeine, and other degrading community (A2, A10 and G10) showed merely 22-27% removal, which may point to a preference of ibuprofen over caffeine.…”

Section: Resultsmentioning

confidence: 99%

Profiling trace organic chemical biotransformation genes, enzymes and associated bacteria in microbial model communities

Cao,

Garcia,

Wurzbacher

2024

Preprint

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Microbial biotransformation of trace organic chemicals (TOrCs) is an essential process in wastewater treatment for eliminating environmental pollution. Understanding of TOrC biotransformation mechanisms, especially at their original concentrations, is important to optimize treatment performance, whereas our current knowledge is limited. Here we investigated the biotransformation of seven TOrCs by 24 model communities. The genome-centric analyses unraveled the biotransformation drivers concerning functional genes and enzymes and responsible bacteria. We obtained efficient model communities for complete removal on ibuprofen, caffeine and atenolol, and the transformation efficiencies for sulfamethoxazole, carbamazepine, trimethoprim and gabapentin were 0-45%. Biotransformation performance was not fully reflected by the presence of known biotransformation genes and enzymes. However, functional similar homologs to existing biotransformation genes and enzymes (e.g., long-chain-fatty-acid-CoA ligase encoded byfadDandfadD13gene, acyl-CoA dehydrogenase encoded byfadE12gene) could play critical roles in TOrC metabolism. Finally, we identified previously undescribed degrading strains, e.g.,Rhodococcus qingshengiifor caffeine, carbamazepine, sulfamethoxazole and ibuprofen biotransformation, and potential transformation enzymes, e.g., SDR family oxidoreductase targeting sulfamethoxazole and putative hypothetical proteins for caffeine, atenolol and gabapentin biotransformation.

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Section: Resultsmentioning

confidence: 99%

Profiling trace organic chemical biotransformation genes, enzymes and associated bacteria in microbial model communities

Cao,

Garcia,

Wurzbacher

2024

Preprint

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“…The trace levels of pharmaceuticals and endocrine-disrupting chemicals found in drinking water, for instance, are suspected to contribute to a range of health issues, including hormonal imbalances, reduced fertility, and an increased risk of certain cancers. Despite the low concentrations, the chronic exposure and mixture of various micropollutants raise questions about their synergistic effects and the true extent of their impact on human health [20][21][22][23][24][25][26][27]. The sources and impacts of micropollutants highlight the complexity of managing these pollutants in the environment.…”

Section: Introductionmentioning

confidence: 99%

Optimization of micropollutant removal from wastewaters using the PROMETHEE multicriteria decision method

El Hammoudani,

Haboubi,

Benaabidate

et al. 2024

E3S Web Conf.

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This article explores the use of multicriteria decision methods (MCDMs) to identify the optimum treatment for removing micropollutants from wastewater. With the increasing complexity of industrial and urban wastewater, which contains a wide range of micropollutants, it is becoming crucial to develop effective and sustainable treatment strategies. MCDMs provide a framework for evaluating a variety of treatments, considering several criteria, such as efficiency, cost, energy consumption, environmental impact and technical feasibility. This article examines different processing technologies and compares those using MCDM methods such as the preference ranking organization method for enrichment evaluation (PROMETHEE). Using this approach, this study proposes a systematic and objective method for identifying the most appropriate treatment options, facilitating more efficient wastewater management and protection of the aquatic environment.

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From Priority Contaminants to Emerged Threat: Risk and Occurrence‐Based Analysis for Better Water Management Strategies in Present and Future

Nassar

Younis

2019

Nano and Bio‐Based Technologies for Wastewater Treatment

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Predicting the fate of micropollutants during wastewater treatment: Calibration and sensitivity analysis

Cited by 16 publications

References 48 publications

Profiling trace organic chemical biotransformation genes, enzymes and associated bacteria in microbial model communities

Profiling trace organic chemical biotransformation genes, enzymes and associated bacteria in microbial model communities

Optimization of micropollutant removal from wastewaters using the PROMETHEE multicriteria decision method

From Priority Contaminants to Emerged Threat: Risk and Occurrence‐Based Analysis for Better Water Management Strategies in Present and Future

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