Attenuation of pharmaceuticals and their transformation products in a wastewater treatment plant and its receiving river ecosystem

Aymerich, I.; Acuña, Vicenç; Barceló, Damià; Garcia, Marc; Petrović, Mira; Poch, M.; Rodríguez-Mozaz, Sara; Rodríguez-Roda, Ignasi; Sabater, Sergi; Schiller, Daniel von; Corominas, Lluís

doi:10.1016/j.watres.2016.04.022

Cited by 85 publications

(35 citation statements)

References 30 publications

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“…More information on the measuring campaign can be found in Aymerich et al (2016). The long term (DS1) online data was collected using S::CAN sensors (scan Messtechnik GmbH, Vienna, Austria) for organic matter (spectrolyzer) and nitrogen (ammolyzer) at 2 min intervals (from 02/ 10/2012 at 6:00 to 31/10/2012 at 14:00).…”

Section: Measuring Campaignmentioning

confidence: 99%

Generation of synthetic influent data to perform (micro)pollutant wastewater treatment modelling studies

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Flores-Alsina

Aymerich

et al. 2016

Science of The Total Environment

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The use of process models to simulate the fate of micropollutants in wastewater treatment plants is constantly growing. However, due to the high workload and cost of measuring campaigns, many simulation studies lack sufficiently long time series representing realistic wastewater influent dynamics. In this paper, the feasibility of the Benchmark Simulation Model No. 2 (BSM2) influent generator is tested to create realistic dynamic influent (micro)pollutant disturbance scenarios. The presented set of models is adjusted to describe the occurrence of three pharmaceutical compounds and one of each of its metabolites with samples taken every 2-4h: the anti-inflammatory drug ibuprofen (IBU), the antibiotic sulfamethoxazole (SMX) and the psychoactive carbamazepine (CMZ). Information about type of excretion and total consumption rates forms the basis for creating the data-defined profiles used to generate the dynamic time series. In addition, the traditional influent characteristics such as flow rate, ammonium, particulate chemical oxygen demand and temperature are also modelled using the same framework with high frequency data. The calibration is performed semi-automatically with two different methods depending on data availability. The 'traditional' variables are calibrated with the Bootstrap method while the pharmaceutical loads are estimated with a least squares approach. The simulation results demonstrate that the BSM2 influent generator can describe the dynamics of both traditional variables and pharmaceuticals. Lastly, the study is complemented with: 1) the generation of longer time series for IBU following the same catchment principles; 2) the study of the impact of in-sewer SMX biotransformation when estimating the average daily load; and, 3) a critical discussion of the results, and the future opportunities of the presented approach balancing model structure/calibration procedure complexity versus predictive capabilities.

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Section: Measuring Campaignmentioning

confidence: 99%

Generation of synthetic influent data to perform (micro)pollutant wastewater treatment modelling studies

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Flores-Alsina

Aymerich

et al. 2016

Science of The Total Environment

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“…Therefore, more than one type of treatment is usually required to remove a variety of contaminants. In wastewater treatment plant effluents and environmental waters, treatment and biological processes including oxidation, photolysis, hydrolysis, and microbial metabolism reduce the concentrations of emerging contaminants (Aymerich et al, 2016;Deeb et al, 2017). Emerging contaminants are also removed by natural processes occurring in environmental waters such as biodegradation, photodegradation, and adsorption by sediments (Aymerich et al, 2016;Mompelat et al, 2009).…”

Section: Emerging Contaminants and Breakdown Productsmentioning

confidence: 99%

“…In wastewater treatment plant effluents and environmental waters, treatment and biological processes including oxidation, photolysis, hydrolysis, and microbial metabolism reduce the concentrations of emerging contaminants (Aymerich et al, 2016;Deeb et al, 2017). Emerging contaminants are also removed by natural processes occurring in environmental waters such as biodegradation, photodegradation, and adsorption by sediments (Aymerich et al, 2016;Mompelat et al, 2009). These treatment processes facilitate the partial degradation of the original (or parent) compounds and result in the formation of breakdown (or degradation) products (Aymerich et al, 2016;Deeb et al, 2017).…”

Section: Emerging Contaminants and Breakdown Productsmentioning

confidence: 99%

“…Emerging contaminants are also removed by natural processes occurring in environmental waters such as biodegradation, photodegradation, and adsorption by sediments (Aymerich et al, 2016;Mompelat et al, 2009). These treatment processes facilitate the partial degradation of the original (or parent) compounds and result in the formation of breakdown (or degradation) products (Aymerich et al, 2016;Deeb et al, 2017).…”

Section: Emerging Contaminants and Breakdown Productsmentioning

confidence: 99%

“…As emerging contaminants are degraded, they are transformed into intermediate breakdown products before being completely destroyed (or mineralized) (Aymerich et al, 2016). Oftentimes, complete mineralization of a contaminant is not achieved through a treatment process or natural degradation, meaning the breakdown products are able to persist.…”

Section: Emerging Contaminants and Breakdown Productsmentioning

confidence: 99%

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Prediction of the Degradation of Emerging Contaminants During Oxidative Treatment via Analysis of Reaction Rate Constants

Cochran¹

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Prediction of the Degradation of Emerging Contaminants During Oxidative Treatment via Analysis of Reaction Rate Constants Kellie Cochran Globally, water supplies are diminishing in quality while demand is continually increasing. The municipal water and wastewater sector has been paying increased attention to unregulated emerging organic contaminants. Advanced oxidation processes (AOPs), which produce hydroxyl radicles (•OH), have been developed and implemented to remove recalcitrant emerging contaminants left by conventional treatment processes. The current understanding of the removal efficacy of AOPs for emerging contaminants is limited. This study analyzes the ability of an AOP involving ozone and multi-walled carbon nanotubes (MWCNTs) in removing three specific emerging contaminants: caffeine, atrazine, and phenytoin, which were selected based on their persistence and ubiquity in the environment and their potential to serve as AOP efficacy indicator compounds. Reaction rate constants were determined from batch reactor data and compared to the degradation trends observed for the different compounds after exposure to treatment. During exposure to ozone alone, caffeine degraded quickly (KO3 = 334 ± 67 M-1 s-1), atrazine degraded slightly (KO3 = 8.3 ± 1.0 M-1 s-1), and phenytoin did not respond to the treatment. Atrazine and phenytoin were exposed to •OH in the AOP treatment process, and the contaminants displayed greater removal v compared to ozone only. To simulate more realistic water systems, a mixture of caffeine and atrazine was subjected to ozone only and the AOP with ozone and CNTs. Competition for ozone and •OH resulted in lower atrazine degradation. This result reflects the expected degradation of these compounds based on their individually determined reaction rate constants. Atrazine behaved as expected when exposed to ozone and the AOP, and the reaction rate constants determined for atrazine reflect the observed degradation trend which qualifies atrazine as a potential indicator compound. Overall, this study demonstrates the ability of the AOP combining ozone and CNTs to degrade recalcitrant compounds, the potential for atrazine to serve as an indicator compound for AOPs, and the reliability of reaction rate constants to predict the degradation of contaminants in increasingly complex water systems. vi ACKNOWLEDGMENTS I would like to acknowledge the following people for their continued support and encouragement throughout this research project: Dr. Rebekah Oulton for sharing your excitement and extensive knowledge in this field of research, and for helping me develop a project centered around my interests and guiding me through every step in the process. I am grateful for the professional development and personal growth I have experienced through this project. Dr. Amro El Badawy for helping me develop my research question and for your guidance over the past year. Dr. Tryg Lundquist for your recommendations and support for my project throughout. The faculty, students, and staff of the Civil and Environm...

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Insight into sulfapyridine degradation mechanism and antibacterial activity change using enhanced hydrolysis

Yao,

Wu,

You

et al. 2024

Env Prog and Sustain Energy

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Antibiotics in wastewater may inhibit the operation of biological treatment systems. Sulfapyridine (SPY) not only has antibacterial activity, but also chelates with other substances, and its antibacterial activity becomes stronger. An enhanced hydrolysis was applied to remove antibiotics as a promising pretreatment. An increase of 10°C accelerated the SPY hydrolysis rate by 1.98–2.40 fold, and the hydrolysis half‐life of SPY was shortened by 2.92 fold when pH was increased from 3 to 11 at 85°C. Herein, the contribution of hydrolysis to the SPY degradation increased as temperature, and the cleavage of bond is mainly way of SPY hydrolysis. The trend in the TP1 concentration indicate that NC cleavage may occur at the beginning of the reaction. According to result, the contribution of SPY to antibacterial activity decreased as the reaction progressed. The hydrolysis half‐life of SPY was shortened by condition optimization under normal pressure. The optimal conditions are pH = 10.8 and 60°C through response surface methodology (RSM) and EEO value with SPY concentration, antibacterial activity removal efficiency and low energy consumption as targets. Enhanced hydrolysis broken chemical bonds through hydrolysis and oxidation, shortening the hydrolysis half‐life of SPY at high temperature and alkaline. The energy consumption of SPY hydrolysis was calculated for the first time. Under the conditions of pH = 11 and 65°C, the energy consumption of per unit concentration SPY degradation was minimal. The results of this study demonstrated that enhanced hydrolysis is effective and energy conservation as a pretreatment technology for antibiotic.

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Attenuation of pharmaceuticals and their transformation products in a wastewater treatment plant and its receiving river ecosystem

Cited by 85 publications

References 30 publications

Generation of synthetic influent data to perform (micro)pollutant wastewater treatment modelling studies

Generation of synthetic influent data to perform (micro)pollutant wastewater treatment modelling studies

Prediction of the Degradation of Emerging Contaminants During Oxidative Treatment via Analysis of Reaction Rate Constants

Insight into sulfapyridine degradation mechanism and antibacterial activity change using enhanced hydrolysis

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