Application of the Target Lipid Model to Assess Toxicity of Heterocyclic Aromatic Compounds to Aquatic Organisms.

Journal Article (Journal Article)

Heterocyclic aromatic compounds can be found in crude oil and coal and often co-exist in environmental samples with their homocyclic aromatic counterparts. The target lipid model (TLM) is a modeling framework that relates aquatic toxicity to the octanol-water partition coefficient (KOW ) that has been calibrated and validated for hydrocarbons. A systematic analysis of the applicability of the TLM to heterocyclic aromatic compounds has not been performed. The objective of the present study was to compile reliable toxicity data for heterocycles and determine whether observed toxicity could be successfully described by the TLM. Results indicated that the TLM could be applied to this compound class by adopting an empirically derived coefficient that accounts for partitioning between water and lipid. This coefficient was larger than previously reported for aromatic hydrocarbons, indicating that these heterocyclic compounds exhibit higher affinity to target lipid and toxicity. A mechanistic evaluation confirmed that the hydrogen bonding accepting moieties of the heteroatoms helped explain differences in partitioning behavior. Given the TLM chemical class coefficient reported in the present study, heterocyclic aromatics can now be explicitly incorporated in TLM-based risk assessments of petroleum substances, other products, or environmental media containing these compounds. Environ Toxicol Chem 2021;40:3000-3009. © 2021 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

Full Text

Duke Authors

Cited Authors

  • McGrath, J; Getzinger, G; Redman, AD; Edwards, M; Martin Aparicio, A; Vaiopoulou, E

Published Date

  • November 2021

Published In

Volume / Issue

  • 40 / 11

Start / End Page

  • 3000 - 3009

PubMed ID

  • 34407226

Pubmed Central ID

  • PMC9292752

Electronic International Standard Serial Number (EISSN)

  • 1552-8618

International Standard Serial Number (ISSN)

  • 0730-7268

Digital Object Identifier (DOI)

  • 10.1002/etc.5194

Language

  • eng