Mind the Exposure Gaps-Modeling Chemical Transport in Sediment Toxicity Tests.

Environ Sci Technol

Health and Environmental Risk Division, National Institute for Environmental Studies (NIES), Onogawa 16-2, 305-8506 Tsukuba, Ibaraki, Japan.

Published: September 2021

AI Article Synopsis

  • Chemical exposure in sediment toxicity tests shows variability based on time, location (pore vs. overlying water), and the state of the chemicals (free vs. bound), making it hard to directly link toxicity to concentration levels.
  • A numerical model developed examines how chemicals desorb from sediments into pore water, diffuse, and are transported by dissolved organic carbon (DOC), revealing discrepancies between observed and expected concentration levels in the water.
  • Key findings indicate that the chemical's hydrophobicity, the habitat and mechanisms for organisms to uptake bound chemicals, and the sediment properties, including DOC, significantly influence toxicity and chemical exposure, leading to potential reevaluation of existing toxicity data and better experimental designs.

Article Abstract

Chemical exposure in flow-through sediment toxicity tests can vary in time, between pore and overlying water, and amid free and bound states, complicating the link between toxicity and observable concentrations such as free pore (), free overlying (), or the corresponding dissolved concentrations (, free + bound to dissolved organic carbon, DOC). We introduce a numerical model that describes the desorption from sediments to pore water, diffusion through pores and the sediment-water boundary, DOC-mediated transport, and mixing in and outflow from overlying water. The model explained both the experimentally measured gap between and and the continuous decrease in overlying . Spatially resolved modeling suggested a steep concentration gradient present in the upper millimeter of the sediment due to slow chemical diffusion in sediment pores and fast outflux from the overlying water. In contrast to continuous decrease in overlying expected for any chemical, of highly hydrophobic chemicals was kept relatively constant following desorption from DOC, a mechanism comparable to passive dosing. Our mechanistic analyses emphasize that exposure will depend on the chemical's hydrophobicity, the test organism habitat and uptake of bound chemicals, and the properties of sediment components, including DOC. The model can help to re-evaluate existing toxicity data, optimize experimental setups, and extrapolate laboratory toxicity data to field exposure.

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Source
http://dx.doi.org/10.1021/acs.est.1c03201DOI Listing

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