A review of arsenic speciation in freshwater fish: Perspectives on monitoring approaches and analytical methods DOI
Adam T. Lepage, Brian Laird, Kelly Skinner

et al.

Environmental Reviews, Journal Year: 2024, Volume and Issue: 32(4), P. 539 - 556

Published: May 22, 2024

Arsenic accumulation in fish poses concerns for subsistence and recreational fishers worldwide. However, the toxicity of arsenic to consumers strongly depends on chemical forms, or species, present. Risk assessments often rely total concentrations ([As]), adjusting assumed small percentages most harmful inorganic species. While studies speciation marine are widespread, commonly report less toxic arsenobetaine (AsB) as dominant form, fewer have been conducted freshwater fish, where may be more variable. To assess these findings, we a systematic literature review using Covidence © management software. From over 1100 screened studies, 41 were selected inclusion based predefined criteria. These reported highly variable patterns calling into question assumption that AsB is form Sites with suspected known contamination issues prominent, >50% data reviewed originating from contaminated river lake, but effect was Although other organic forms typically dominated, some (6/41; 15%) identified elevated (>1 mg/kg dry wt.), corresponding 20% arsenic. Furthermore, results accounted proportion [As] than 50%. Assuming appears poor approximation cannot applied all fish. Based this considerable variability, recommend direct measurement species whenever possible, especially when above relevant guidelines (e.g., 0.1–2 wet wt.). We also future works communicate their detail, including complete description quality assurance control protocols, improve potential meta-analyses. Additional work needed characterize various accurately evaluate environmental human health risks associated

Language: Английский

Factors Affecting Arsenic and Mercury Accumulation in Fish from the Colombian Caribbean: A Multifactorial Approach Using Machine Learning DOI

Claudia Hernández-Domínguez,

Dora Bjedov, Jorge Buelvas-Soto

et al.

Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 120761 - 120761

Published: Jan. 1, 2025

Language: Английский

Citations

0
Foodweb dynamics affect arsenic speciation and bioaccumulation in lakes affected by gold mines DOI Creative Commons
Jules M. Blais,

Emmanuel Yumvihoze,

Hing Man Chan

et al.

Environmental Pollution, Journal Year: 2025, Volume and Issue: 372, P. 125999 - 125999

Published: March 5, 2025

We investigated the bioaccumulation patterns of arsenic species in freshwater food webs from three lakes near historical mining operations Northwest Territories, Canada. Two these (Long Lake and Lower Martin Lake) were located within 5 km mine's roaster stacks, while a third lake (Small Lake), situated 27 away, served as far-field reference site. In each lake, we measured concentrations species, including As(III), As(V), MMA, DMA organic arsenobetaine, AsB, across multiple environmental biological compartments, water, sediment, macrophytes, periphyton, phytoplankton, zooplankton, benthic invertebrates, small- large-bodied fish. Across all lakes, total inorganic (As(III) As(V)) inversely related to an organism's trophic position determined by δ15N. This trend likely reflects biotransformation AsB tissues well increased dietary intake AsB-rich prey, which facilitates As elimination. Our findings suggest that is key determinant bioaccumulation, explaining 39-89% bioaccumulation.

Language: Английский

Citations

0
Mixed Model Approaches Can Leverage Database Information to Improve the Estimation of Size-Adjusted Contaminant Concentrations in Fish Populations DOI Creative Commons
Emily Smenderovac, Brian W. Kielstra, Calvin Kluke

et al.

Environmental Science & Technology, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Concentrations of bioaccumulative contaminants in fish increase with their size and age; thus, research monitoring these across space time can be confounded by covariation. To account for this, size-standardization contaminant concentrations within samples is a common practice. Standardized are often estimated using within-sample regression models, also known as power series (referred to here sampling event regressions, or SERs). This approach requires higher sample sizes than mixed effect models (MEMs), which suited this application but not commonly used. Herein we compare SERs three MEM approaches; restricted maximum likelihood, Bayesian inference via Markov chain Monte Carlo (MCMC), approximate nested Laplace approximation (INLA). We did two contaminants: mercury (Hg), bioaccumulate, arsenic (As), where the potential less understood. The approaches generated size-standardized small populations (e.g., <5 fish) and/or that lacked range required SER estimates, comparable residual root mean squared error estimates. INLA was determined best method most cases because it computationally intensive other showed consistent performance scenarios sample-size limitations. Additionally, provided example code prediction R-INLA package enable use fisheries' research.

Language: Английский

Citations

0
Arsenic Speciation in More Than 1600 Freshwater Fish Samples from Fifty-Three Waterbodies in Alberta, Canada DOI Creative Commons
Chester Lau, Xiufen Lu,

Xiaojian Chen

et al.

Journal of Environmental Sciences, Journal Year: 2024, Volume and Issue: 153, P. 289 - 301

Published: Dec. 15, 2024

We report here arsenic speciation in 1643 freshwater fish samples, representing 14 common species from 53 waterbodies Alberta, Canada. Arsenic were extracted muscle tissue. the extracts separated using anion-exchange high-performance liquid chromatography (HPLC) and quantified inductively coupled plasma mass spectrometry (ICPMS). The total concentrations ranged 2.8 to 1200 µg/kg (in wet weight of sample) (mean 71 ± 101 µg/kg), which are all below 2000 (wet weight) maximum allowable fish, recommended by Ontario Ministry Environment. In 99.7%, or 1638 samples analyzed, arsenobetaine (AsB) was detectable, with higher than method detection limit 0.25 weight). Dimethylarsinic acid (DMA) detectable (concentration >0.25 µg/kg) 92.1%, 1514 samples. Inorganic arsenate (iAsV) (>0.25 1119 (i.e., 68.1% samples). Monomethylarsonic (MMA) 418 (25.4% varied as much three orders magnitude, ranging 380 for AsB, 150 DMA, 70 iAsV, 51 MMA. AsB made up 46.1% 26.2% species. patterns between lake whitefish, northern pike, walleye, most types analyzed. relative proportion DMA pike larger whitefish conversely, iAsV lower pike. Seven unknown detected, their chromatographic retention time did not match those available standards. At least one detected 33.4%, 549 high 61 µg/kg. Future research is necessary identify determine contributing factors observed concentrations.

Language: Английский

Citations

3
A review of arsenic speciation in freshwater fish: Perspectives on monitoring approaches and analytical methods DOI
Adam T. Lepage, Brian Laird, Kelly Skinner

et al.

Environmental Reviews, Journal Year: 2024, Volume and Issue: 32(4), P. 539 - 556

Published: May 22, 2024

Arsenic accumulation in fish poses concerns for subsistence and recreational fishers worldwide. However, the toxicity of arsenic to consumers strongly depends on chemical forms, or species, present. Risk assessments often rely total concentrations ([As]), adjusting assumed small percentages most harmful inorganic species. While studies speciation marine are widespread, commonly report less toxic arsenobetaine (AsB) as dominant form, fewer have been conducted freshwater fish, where may be more variable. To assess these findings, we a systematic literature review using Covidence © management software. From over 1100 screened studies, 41 were selected inclusion based predefined criteria. These reported highly variable patterns calling into question assumption that AsB is form Sites with suspected known contamination issues prominent, >50% data reviewed originating from contaminated river lake, but effect was Although other organic forms typically dominated, some (6/41; 15%) identified elevated (>1 mg/kg dry wt.), corresponding 20% arsenic. Furthermore, results accounted proportion [As] than 50%. Assuming appears poor approximation cannot applied all fish. Based this considerable variability, recommend direct measurement species whenever possible, especially when above relevant guidelines (e.g., 0.1–2 wet wt.). We also future works communicate their detail, including complete description quality assurance control protocols, improve potential meta-analyses. Additional work needed characterize various accurately evaluate environmental human health risks associated

Language: Английский

Citations

2