Multicompartment Examination of Micropollutant Partitioning in Replicate Artificial Streams Highlights the Limitations of Assessing Water Matrices Alone

While numerous assessments of micropollutant exposure primarily focus on monitoring the water column, a growing body of research indicates that differences in micropollutant partitioning in other compartments require additional consideration for risk evaluation. This study investigated the partitioning of antibiotics, antiepileptics, antibacterials, and antidepressants and their metabolites in water, sediment, macroinvertebrates (gammarids), biofilm, and fish (spoonhead sculpin and longnose dace) found or exposed in replicate naturalized streams (Calgary, Alberta, Canada). All target micropollutants were detected in the water and sediment, and >5 substances were detected in the biotic matrices at concentrations between the limit of quantitation and 244 ± 16 ng/gdw. Triclosan and triclocarban (antibacterials) were frequently detected in sediments, but very rarely in the water column. The solid–water partitioning (Kd) and organic carbon–water partitioning coefficients (Koc) indicate that fluoxetine, norfluoxetine, and triclosan have a stronger affinity for sediments and/or organic matter (log Kd > 2.7, log Koc > 1.5). More specifically, fluoxetine was found to be up to 10× higher in sediments, biofilm, and gammarids than other substances, whereas its concentration in the water column was very low or nondetectable. Finally, bottom-dwelling fish (spoonhead sculpin) were also found to have higher concentrations of fluoxetine and its metabolite than longnose dace.

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Publication Details

Journal
ACS ES&T Water
Published
2024-08-09
DOI
https://doi.org/10.1021/acsestwater.4c00443
Citations
2
Primary Topic
Pharmaceutical and Antibiotic Environmental Impacts
Type
article
Field-Weighted Citation Impact
0.27

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article

Multicompartment Examination of Micropollutant Partitioning in Replicate Artificial Streams Highlights the Limitations of Assessing Water Matrices Alone

Victoria I. Arnold, Maricor J. Arlos, Leslie M. Bragg, Kelly R. Munkittrick et al.
2 citations
ACS ES&T Water
Pharmaceutical and Antibiotic Environmental Impacts
0.27
article

Multicompartment Examination of Micropollutant Partitioning in Replicate Artificial Streams Highlights the Limitations of Assessing Water Matrices Alone

Victoria I. Arnold, Maricor J. Arlos, Leslie M. Bragg, Kelly R. Munkittrick, Mark R. Servos, Patricija Marjan, Diana M. Cárdenas-Soracá, Daniela Pulgarin-Zapata
article en
2 citations

Abstract

While numerous assessments of micropollutant exposure primarily focus on monitoring the water column, a growing body of research indicates that differences in micropollutant partitioning in other compartments require additional consideration for risk evaluation. This study investigated the partitioning of antibiotics, antiepileptics, antibacterials, and antidepressants and their metabolites in water, sediment, macroinvertebrates (gammarids), biofilm, and fish (spoonhead sculpin and longnose dace) found or exposed in replicate naturalized streams (Calgary, Alberta, Canada). All target micropollutants were detected in the water and sediment, and >5 substances were detected in the biotic matrices at concentrations between the limit of quantitation and 244 ± 16 ng/gdw. Triclosan and triclocarban (antibacterials) were frequently detected in sediments, but very rarely in the water column. The solid–water partitioning (Kd) and organic carbon–water partitioning coefficients (Koc) indicate that fluoxetine, norfluoxetine, and triclosan have a stronger affinity for sediments and/or organic matter (log Kd > 2.7, log Koc > 1.5). More specifically, fluoxetine was found to be up to 10× higher in sediments, biofilm, and gammarids than other substances, whereas its concentration in the water column was very low or nondetectable. Finally, bottom-dwelling fish (spoonhead sculpin) were also found to have higher concentrations of fluoxetine and its metabolite than longnose dace.

ACS ES&T WaterVol. 4(9)
University of Waterloo (CA), University of Alberta (CA), University of Calgary (CA)
University of Alberta, Natural Sciences and Engineering Research Council of Canada
Clean water and sanitation
Openalex Percentile: Top 54%
Pharmaceutical and Antibiotic Environmental Impacts
0.27
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