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

Publisher: SETAC Press Country of Publication: United States NLM ID: 8308958 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-8618 (Electronic) Linking ISSN: 07307268 NLM ISO Abbreviation: Environ Toxicol Chem Subsets: MEDLINE

Publication: Pensacola, FL : SETAC Press
Original Publication: New York : Pergamon Press, c1982-

Geologic Sediments*/chemistry ; Toxicity Tests* ; Water Pollutants, Chemical*/toxicity; Animals ; Models, Theoretical

Since recognizing the importance of bioavailability for understanding the toxicity of chemicals in sediments, mechanistic modeling has advanced over the last 40 years by building better tools for estimating exposure and making predictions of probable adverse effects. Our review provides an up-to-date survey of the status of mechanistic modeling in contaminated sediment toxicity assessments. Relative to exposure, advances have been most substantial for non-ionic 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 and toxicokinetic and toxicodynamic models are increasingly being applied to better predict contaminated sediment toxicity. Furthermore, for some classes of contaminants, such as polycyclic aromatic hydrocarbons, adverse effects can be modeled 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 the risks associated with contaminated sediments. Environ Toxicol Chem 2024;43:1778-1794. © 2023 SETAC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
(© 2023 SETAC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)

Environ Sci Process Impacts. 2017 Mar 22;19(3):307-323. (PMID: 28218330)
Environ Sci Process Impacts. 2023 Mar 22;25(3):609-620. (PMID: 36779546)
Environ Toxicol Chem. 2007 Jan;26(1):24-36. (PMID: 17269456)
Environ Toxicol Chem. 2014 Jul;33(7):1537-43. (PMID: 24668883)
Environ Toxicol Chem. 2022 Jun;41(6):1370-1380. (PMID: 35322897)
Sci Total Environ. 2021 Dec 20;801:149343. (PMID: 34418616)
Environ Sci Technol. 2005 Sep 15;39(18):6881-95. (PMID: 16201609)
Environ Sci Technol. 2005 Feb 15;39(4):913-24. (PMID: 15773462)
Environ Sci Technol. 2014 Nov 4;48(21):12477-91. (PMID: 25280011)
Environ Sci Technol. 2015 Jul 07;49(13):7818-24. (PMID: 26035017)
Integr Environ Assess Manag. 2015 Apr;11(2):208-20. (PMID: 25377271)
Environ Toxicol Chem. 2018 Jan;37(1):70-79. (PMID: 29080370)
Environ Toxicol Chem. 2008 Jan;27(1):226-34. (PMID: 18092863)
Environ Sci Technol. 2003 Jan 1;37(1):99-106. (PMID: 12542297)
Environ Sci Technol. 2009 May 1;43(9):3094-100. (PMID: 19534119)
Environ Toxicol Chem. 2004 Oct;23(10):2503-17. (PMID: 15511111)
Environ Sci Technol. 2006 Nov 15;40(22):7094-100. (PMID: 17154021)
Environ Toxicol Chem. 2018 Jun;37(6):1579-1593. (PMID: 29352727)
Integr Environ Assess Manag. 2022 Sep;18(5):1335-1347. (PMID: 34953029)
Environ Sci Technol. 2002 Jan 1;36(1):21-9. (PMID: 11811485)
Water Res. 2022 Oct 15;225:119139. (PMID: 36155002)
Environ Toxicol Chem. 2013 Jan;32(1):102-14. (PMID: 23060276)
Environ Sci Pollut Res Int. 2015 May;22(10):7405-21. (PMID: 25750051)
Environ Sci Technol. 2001 Jan 1;35(1):1-9. (PMID: 11351988)
J Chem Inf Comput Sci. 2000 Jan;40(1):71-80. (PMID: 10661552)
Environ Sci Process Impacts. 2018 May 23;20(5):813-821. (PMID: 29667991)
Environ Toxicol Chem. 2005 Oct;24(10):2410-27. (PMID: 16268143)
Environ Toxicol Chem. 2022 Nov;41(11):2679-2687. (PMID: 35959891)
Environ Toxicol Chem. 2004 Jul;23(7):1640-8. (PMID: 15230316)
Environ Sci Technol. 2006 Nov 15;40(22):7085-93. (PMID: 17154020)
Environ Toxicol Chem. 2009 Jun;28(6):1130-48. (PMID: 19173550)
Environ Toxicol Chem. 2023 May;42(5):1134-1151. (PMID: 36808761)
Comp Biochem Physiol C Toxicol Pharmacol. 2002 Sep;133(1-2):3-35. (PMID: 12428632)
Chemosphere. 2016 Dec;164:634-642. (PMID: 27635646)
Environ Toxicol Chem. 2001 Oct;20(10):2383-96. (PMID: 11596774)
Environ Toxicol Chem. 2014 Dec;33(12):2679-87. (PMID: 25195918)
Environ Toxicol Chem. 2020 Jan;39(1):85-100. (PMID: 31880833)
Environ Sci Technol. 2011 Apr 1;45(7):2529-40. (PMID: 21366215)
Environ Sci Technol. 2015 Jul 07;49(13):7810-7. (PMID: 26035092)
Environ Toxicol Chem. 2015 Apr;34(4):777-87. (PMID: 25556972)
Sci Total Environ. 2022 May 10;820:153282. (PMID: 35066033)
Environ Toxicol Chem. 2021 Nov;40(11):3148-3158. (PMID: 34432908)
Environ Sci Technol. 2006 Dec 1;40(23):7251-6. (PMID: 17180974)
Environ Toxicol Chem. 2010 Aug;29(8):1868-76. (PMID: 20821643)
Environ Sci Technol. 2008 Aug 15;42(16):5897-903. (PMID: 18767642)
Environ Pollut. 2021 Mar 1;272:115995. (PMID: 33187838)
Environ Toxicol Chem. 2009 Jul;28(7):1429-38. (PMID: 19245270)
Environ Sci Technol. 2011 Feb 15;45(4):1313-9. (PMID: 21194210)
Environ Toxicol Chem. 2021 Nov;40(11):3000-3009. (PMID: 34407226)
Environ Toxicol Chem. 2011 Nov;30(11):2519-24. (PMID: 21805502)
Environ Toxicol Chem. 2002 Feb;21(2):466-72. (PMID: 11833815)
Environ Toxicol Chem. 2013 Mar;32(3):594-601. (PMID: 23239137)
Rev Environ Contam Toxicol. 2021;253:43-64. (PMID: 31748892)
J Chromatogr A. 1999 Jun 11;845(1-2):381-400. (PMID: 10399340)
Environ Toxicol Chem. 2002 Sep;21(9):1993-2005. (PMID: 12206441)
Environ Toxicol Chem. 2006 Mar;25(3):875-82. (PMID: 16566174)
Environ Toxicol Chem. 2022 Dec;41(12):3070-3083. (PMID: 36102847)
Environ Sci Technol. 2021 Sep 7;55(17):11885-11893. (PMID: 34488347)
Environ Toxicol Chem. 2019 Jan;38(1):222-239. (PMID: 30255636)
Integr Environ Assess Manag. 2019 Jul;15(4):505-518. (PMID: 30945428)
Environ Toxicol Chem. 2005 Sep;24(9):2382-94. (PMID: 16193769)
Environ Sci Technol. 2016 Jan 5;50(1):285-93. (PMID: 26587648)
Environ Sci Technol. 2005 Jul 15;39(14):5148-56. (PMID: 16082942)
Environ Sci Technol. 2012 Oct 16;46(20):10900-8. (PMID: 22992173)
Environ Toxicol Chem. 2021 Aug;40(8):2121-2134. (PMID: 33945644)
Chemosphere. 2018 May;199:585-594. (PMID: 29455127)
Water Res. 2003 Jun;37(11):2691-9. (PMID: 12753846)
Comp Biochem Physiol C Toxicol Pharmacol. 2002 Sep;133(1-2):271-85. (PMID: 12356533)
Crit Rev Toxicol. 1995;25(3):255-79. (PMID: 7576154)
Environ Toxicol Chem. 2020 Feb;39(2):269-286. (PMID: 31569266)
Environ Toxicol Chem. 2011 Nov;30(11):2395-406. (PMID: 21823161)
Environ Sci Technol. 2017 Sep 5;51(17):9887-9898. (PMID: 28742336)

EPA999999 United States ImEPA Intramural EPA

Keywords: Acute and sublethal toxicity; Cationic divalent metals; Mechanistic modeling; Passive sampling; Polar and nonpolar organic chemicals; Sediment toxicity; Species sensitivity distributions

0 (Water Pollutants, Chemical)

Date Created: 20231117 Date Completed: 20240726 Latest Revision: 20240817

20240817

PMC11328970

10.1002/etc.5789

37975556