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Although most of the analytical methods developed for the monitoring of contaminants in environmental waters are based on discrete grab sampling, an alternative of increasing interest is the use of passive sampling. Methods based on passive sampling provide the sampling and pre-concentration of the analytes in-situ, which makes the sample treatment less time consuming and costly than using discrete grab sampling. In this study, ceramic passive samplers (CPSs) using mixed-mode strong cation-exchange sorbent (Oasis MCX) as retention phase were evaluated for the determination of a group of 21 therapeutic and illicit drugs and some of their metabolites in river water samples that were determined by liquid chromatography-tandem mass spectrometry. After assessing the stability of the analytes, the CPSs were calibrated for 9 days with bottled water and river water, obtaining, for the 19 stable compounds, sample rates (Rs) ranging between 0.180 and 1.767 mL/day and diffusion coefficients (De) between 2.02E-8 and 2.81E-7 cm/s. Once calibrated, CPSs were deployed for the determination of contaminants in the Ebre River, with good reproducibility, and some of the analytes were determined, including amongst others, gabapentin at 76 ng/L, caffeine at 203 ng/L or diclofenac amine at 57 ng/L. The passive sampling method herein presented is simple and feasible and allows the time-integrated analysis of pharmaceuticals and drugs at trace levels in river water. This study opens the possibility of using other mixed-mode sorbents or other types of sorbents as retaining phase on CPSs for the determination of very polar contaminants in water.
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http://dx.doi.org/10.1016/j.chroma.2023.464348 | DOI Listing |
Mol Biol Rep
September 2025
Department of Biosciences, Integral University, Kursi Road, Lucknow, 226026, India.
Background: The river ecosystems provide habitats and source of water for a number of species including humans. The uncontrolled accumulation of pollutants in the aquatic environment enhances the development of antibiotic-resistant bacteria and genes.
Methods: Water samples were collected seasonally from different sites of Gomti and Ganga River.
Environ Pollut
September 2025
ECOSPHERE, Department of Biology, University of Antwerp, Belgium.
PER: and polyfluoroalkyl substances (PFAS) are persistent environmental pollutants that accumulate in aquatic ecosystems, posing a threat to wildlife. This study examines the potential of Asian clams (Corbicula fluminea) as an active biomonitoring species for assessing PFAS contamination in the Scheldt River, Belgium. Clams were exposed in cages at six sites along the river for a six-week exposure period, with simultaneous collection of sediment and water samples at each site.
View Article and Find Full Text PDFJ Environ Manage
September 2025
University of Maryland Center for Environmental Science, Annapolis, MD, USA.
River water quality degradation is a prevailing problem in coastal China with intensifying human-nature interaction. However, the spatial and temporal dynamics of water quality and their drivers remain poorly understood. In this study, we developed an analytical framework integrating self-organizing mapping (SOM) with partial least squares structural equation models (PLS-SEMs) to analyze the patterns and drivers of river water quality at 49 stations from 2021 to 2023 in Fujian Province, a coastal region in southeastern China.
View Article and Find Full Text PDFJ Environ Manage
September 2025
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
Dissolved oxygen (DO) is a key water quality indicator reflecting river health. Modeling and understanding the spatiotemporal dynamics of DO and its influencing factors are crucial for effective river management. Machine learning (ML) models have gained popularity in water quality prediction; however, their accuracy strongly depends on the predictor variables.
View Article and Find Full Text PDFMar Pollut Bull
September 2025
School of Marine Sciences, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China; The Research Center of Ocean Climate, Sun Yat-sen University, Zhuhai 519082, China; Pearl River Estuary Marine Ecosystem Research Station, Ministry of E
Estuarine plumes (EPs) are recognized as critical drivers of dissolved organic matter (DOM) heterogeneity in coastal zones, primarily by inducing phytoplankton blooms and subsequent bottom-water dissolved oxygen (DO) depletion. However, the specific mechanisms governing the EP-driven transformations of DOM molecular composition and biogeochemical fate remain elusive. Here, we integrated optical spectroscopy and Fourier transform ion cyclotron resonance mass spectrometry to characterize the molecular signatures of DOM and their biogeochemical transformations within EP-influenced bottom waters of the Pearl River Estuary.
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