98%
921
2 minutes
20
Aromatic amines (AAs) are human-made compounds known for their mutagenic properties, entering surface waters from various sources, often originating as transformation products of dyes or pesticides. Despite their low concentrations in surface waters, AAs can exhibit mutagenicity. Our study focused on evaluating three passive samplers (PSs) for enriching these compounds from influent and effluent of a wastewater treatment plant (WWTP) in Brno, Czech Republic. The PSs tested included variants containing AttractSPE™ SDB-RPS sorbent disk, one with and one without a diffusive agarose hydrogel layer, and a modified Speedisk (Bakerbond Speedisk® HO-Philic). PSs were deployed in wastewater (WW) for one to four weeks in various overlapping combinations, and the uptake of AAs to PSs was compared to their concentrations in 24-hour composite water samples. A targeted LC/MS analysis covered 42 amines, detecting 11 and 13 AAs in daily composite influent and effluent samples, respectively. In the influent, AAs ranged from 1.5 ng L for 1-anilinonaphthalene to 1.0 μg L for aniline, and the highest concentration among all measured amines was observed for cyclohexylamine at 2.9 μg L. In the effluent, concentrations ranged from 0.5 ng L for 1-anilinonaphthalene to 88 ng L for o-anisidine. PSs demonstrated comparable accumulation of amines, with integrative uptake up to 28 days in both influent and effluent and detection of up to 23 and 27 amines in influent and effluent, respectively; altogether 34 compounds were detected in the study. Sampling rates (R) were estimated for compounds present in at least 50 % of the samples and showing <40 % aqueous concentration variability, with robustness evaluated by comparing values for compounds in WWTP influent and effluent. Although all devices performed similarly, hydrogel-based PS exhibited superior performance in several criteria, including time integration and robustness of sampling rates, making it a suitable monitoring tool for AAs in WW.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.scitotenv.2024.173196 | DOI Listing |
Sci Prog
September 2025
Department of Chemistry, The University of Jordan, Amman, Jordan.
ObjectiveThis study aims to assess the concentration and removal efficiency of microplastics (MPs) at a major wastewater treatment plant in Jordan, a region with limited data on MP pollution.MethodsA field-based experimental study was conducted. Grab samples of 14 L were collected from both influent and effluent streams on a single sampling day.
View Article and Find Full Text PDFEnviron Monit Assess
September 2025
Department of Occupational and Environmental Health, School of Public Health, Lanzhou University, Lanzhou, Gansu, 730000, People's Republic of China.
Multiple environments (such as water and soil) on Earth are contaminated with randomly distributed microplastics (MPs). Wind and water can redistribute MPs from their point sources to diverse locations (such as farmland, lakes, and rivers), thus necessitating simultaneous monitoring. This study systematically investigated the contamination of MPs in the wastewater treatment plant (WWTP), its surrounding water bodies, and the soils around plastic factories.
View Article and Find Full Text PDFJ Environ Manage
September 2025
School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology, No.13 Yanta road, Xi'an, 710055, PR China. Electronic address:
In recent years, process-based models have gained prominence in investigating and quantifying the internal purification mechanisms of constructed wetlands (CWs). However, most existing process-based models focus primarily on short-term simulations of pollutant removal performance. To enable long-term simulations and predictions of the purification efficiency of CWs, this study developed a comprehensive process-based model that incorporates sub-models of hydraulics, reactive-transport, bacterial kinetics, plant dynamics, and media clogging.
View Article and Find Full Text PDFEnviron Monit Assess
September 2025
Baiyin Branch of Gansu Academy of Sciences, Lanzhou, 730030, China.
The operation of wastewater treatment plants (WWTPs) is frequently characterized by complexity, largely attributable to the properties of the influent and the nonlinear fluctuations that occur throughout the wastewater treatment process. Accurate modeling of wastewater quality within WWTPs is essential for informed decision-making. In this research, we utilized a stacking model to amalgamate five foundational models, thereby enhancing the precision of the total nitrogen (TN) prediction model for effluent.
View Article and Find Full Text PDFAntibiotics (Basel)
July 2025
Fundació Lluita Contra les Infeccions, Infectious Diseases Department, Hospital Universitari Germans Trias i Pujol, 08916 Badalona, Spain.
: This study aimed to (a) assess the prevalence of multidrug-resistant (MDR) in the waters of two rivers and wastewater treatment plants (WWTPs) in a region of Catalonia, Spain; (b) genetically characterize the MDR strains; and (c) compare extended-spectrum β-lactamase (ESBL)-producing isolates from environmental and human sources. : A total of 62 samples were collected from the influent and effluent of 31 WWTPs and 29 river water samples from 11 sites. Simultaneously, 382 hospitalized patients were screened for MDR using rectal swabs.
View Article and Find Full Text PDF