Impact of natural organic matter and increased water hardness on DGT prediction of copper bioaccumulation by yellow lampmussel (Lampsilis cariosa) and fathead minnow (Pimephales promelas)

Philipps, Rebecca R.; Xu, Xiaoyu; Mills, Gary L.; Bringolf, Robert B.

doi:10.1016/j.envpol.2018.05.059

Title: Impact of natural organic matter and increased water hardness on DGT prediction of copper bioaccumulation by yellow lampmussel (Lampsilis cariosa) and fathead minnow (Pimephales promelas)

Journal Article · Fri Jun 01 00:00:00 EDT 2018 · Environmental Pollution

DOI:https://doi.org/10.1016/j.envpol.2018.05.059· OSTI ID:1819447

^[1]; Xu, Xiaoyu ^[1]; Mills, Gary L. ^[1]; Bringolf, Robert B. ^[2]

Univ. of Georgia, Aiken, SC (United States)
Univ. of Georgia, Athens, GA (United States)

We conducted an exposure experiment with Diffusive Gradients in Thin- Films (DGT), fathead minnow (Pimephales promelas), and yellow lampmussel (Lampsilis cariosa) to estimate bioavailability and bioaccumulation of Cu. We hypothesized that Cu concentrations measured by DGT can be used to predict Cu accumulation in aquatic animals and alterations of water chemistry can affect DGT’s predict ability. Furthermore, three water chemistries (control soft water, hard water, and addition of natural organic matter (NOM)) and three Cu concentrations (0, 30, and 60 μg/L) were selected, so nine Cu-26 water chemistry combinations were used. NOM addition treatments resulted in decreased concentrations of DGT-measured Cu and BLM predicted free Cu ion. Both hard water and NOM addition treatments had reduced concentrations of Cu ion and Cu-29 dissolved organic matter complexes compared to other treatments. DGT-measured Cu concentrations were linearly correlated to fish accumulated Cu, but not to mussel accumulated Cu. Concentrations of bioavailable Cu predicted by BLM, the species complexed with biotic ligands of aquatic organisms and, was highly correlated to DGT measure Cu. In general, DGT-measured Cu fit Cu accumulations in fish, and this passive sampling technique is acceptable at predicting Cu concentrations in fish in waters with low NOM concentrations.

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Research Organization:: Savannah River Site (SRS), Aiken, SC (United States). Savannah River Ecology Lab. (SREL)

Sponsoring Organization:: USDOE

Grant/Contract Number:: FC09-07SR22506

OSTI ID:: 1819447

Alternate ID(s):: OSTI ID: 1527053; OSTI ID: 1819449

Journal Information:: Environmental Pollution, Vol. 241; ISSN 0269-7491

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 17 works

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