Target Lipid Model and Empirical Organic Carbon Partition Coefficients Predict Sediment Toxicity of Polychlorinated Biphenyls to Benthic Invertebrates

Fuchsman, Phyllis C.; Fetters, Kyle; O’Connor, Alison E.

doi:10.1002/etc.5588

Cited by 2 publications

(1 citation statement)

References 74 publications

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“…In addition, the ability of the TLM to predict aqueous toxicity resulting from exposure to petroleum hydrocarbons in the laboratory has been demonstrated for single compounds and mixtures (e.g., oil; Di Toro et al, 2007;McGrath et al, 2005McGrath et al, , 2009McGrath et al, , 2019 as well as heterocyclic aromatic hydrocarbons (McGrath et al, 2021). Very recently, Fuchsman et al (2023) successfully expanded the application of the TLM to mixtures of polychlorinated biphenyls (PCBs) for predicting sediment toxicity to benthic organisms.…”

Section: Non-ionic Organic Contaminantsmentioning

confidence: 99%

A Review of Mechanistic Models for Predicting Adverse Effects in Sediment Toxicity Testing

Burgess,

Kane Driscoll,

Bejarano

et al. 2023

Enviro Toxic and Chemistry

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Since recognizing the importance of bioavailability for understanding the toxicity of chemicals in sediments, mechanistic modelling has advanced over the last 40 years by building better tools for estimating exposure and making predictions of probable adverse effects. This review provides an up‐to‐date survey of the status of mechanistic modelling in contaminated sediment toxicity assessments. Relative to exposure, advancements have been most substantial for nonionic organic contaminants (NOCs) and divalent cationic metals with several equilibrium partitioning‐based (Eq‐P) models having been developed. This has included the use of Abraham equations to estimate partition coefficients for environmental media. As a result of the complexity of their partitioning behavior, progress has been less substantial for ionic/polar organic contaminants. When the EqP‐based estimates of exposure and bioavailability are combined with water‐only effects measurements, predictions of sediment toxicity can be successfully made for NOCs and selected metals. Both species sensitivity distributions (SSDs) and toxicokinetic and toxicodynamic (TKTD) models are increasingly being applied to better predict contaminated sediment toxicity. Further, for some classes of contaminants, like polycyclic aromatic hydrocarbons (PAHs), adverse effects can be modelled as mixtures, making the models useful in real‐world applications, where contaminants seldomly occur individually. Despite the impressive advances in the development and application of mechanistic models to predict sediment toxicity, several critical research needs remain to be addressed. These needs and others represent the next frontier in the continuing development and application of mechanistic models for informing environmental scientists, managers and decisions makers of risks associated with contaminated sediments.

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Section: Non-ionic Organic Contaminantsmentioning

confidence: 99%

A Review of Mechanistic Models for Predicting Adverse Effects in Sediment Toxicity Testing

Burgess,

Kane Driscoll,

Bejarano

et al. 2023

Enviro Toxic and Chemistry

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Evaluating the sensitivity of a chronic plant bioassay relative to an independently derived predicted no effect thresholds to support risk assessment of very hydrophobic organic chemicals

Redman,

Paumen,

Letinski

et al. 2024

Preprint

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Environmental risk assessments require high quality toxicity data to establish protective thresholds. The chronic effects of very hydrophobic organic compounds (VHOCs) in soils are often difficult to determine because multiple processes (e.g. sorption, volatilization, biodegradation) can complicate the interpretation of results. We have developed a standardized soil dosing and aging procedure for assessing bioavailability of high logKow VHOCs in a synthetic soil surrogate, and then used it to evaluate the toxicity of high logKow VHOCs across a range of test substance concentrations and soil organic carbon content. The soil preparation protocol resulted in relatively stable freely dissolved concentrations of test substance compared to bulk soil concentrations with some losses likely due to volatility and biodegradation. This dosing method wasused in a chronic terrestrial plant toxicity bioassay to evaluate the potential toxicity of VHOCs on complex reproductive endpoints like inflorescence and seed bud formation. Testing included common hydrocarbons and three very hydrophobic lubricant substances (logKow > 10). The toxicity data were used to evaluate existing predicted no effect concentrations (PNEC) that had originally been derived without these higher order chronic plant endpoints. The initial exposure concentrations were set at the independently-derived PNECs to provide an independent validation of the PNEC framework. This evaluation was performed to expand the domain of applicability of the PNEC to VHOCs and for the chronic terrestrial plant endpoints. We saw no effects on plant biomass or inflorescence production at these low exposure concentrations, demonstrating that the established PNEC is protective of long term plant health. The results of the present study confirm that the new dosing method is fit for purpose, and that the existing PNEC framework can be extended to chronic plant endpoints for VHOCs.

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Target Lipid Model and Empirical Organic Carbon Partition Coefficients Predict Sediment Toxicity of Polychlorinated Biphenyls to Benthic Invertebrates

Cited by 2 publications

References 74 publications

A Review of Mechanistic Models for Predicting Adverse Effects in Sediment Toxicity Testing

A Review of Mechanistic Models for Predicting Adverse Effects in Sediment Toxicity Testing

Evaluating the sensitivity of a chronic plant bioassay relative to an independently derived predicted no effect thresholds to support risk assessment of very hydrophobic organic chemicals

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