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

IF 3.6 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Robert M. Burgess, Susan Kane Driscoll, Adriana C. Bejarano, Craig Warren Davis, Joop L. M. Hermens, Aaron D. Redman, Michiel T. O. Jonker
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Abstract

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.

Abstract Image

泥沙毒性试验中不良反应预测的机制模型综述。
由于认识到生物利用度对了解沉积物中化学物质毒性的重要性,在过去的40年里,通过建立更好的工具来估计暴露和预测可能的不利影响,机制建模取得了进展。本文综述了污染沉积物毒性评价中力学模型的最新研究进展。相对于暴露,非离子型有机污染物(noc)和二价阳离子金属的进展最为显著,已经开发了几种基于平衡分配(Eq-P)的模型。这包括使用亚伯拉罕方程来估计环境介质的分配系数。由于其分配行为的复杂性,离子/极性有机污染物的进展不大。当基于eqp的暴露和生物利用度估计与仅水影响测量相结合时,可以成功地预测noc和选定金属的沉积物毒性。物种敏感性分布(SSDs)和毒性动力学和毒性动力学(TKTD)模型越来越多地用于更好地预测污染沉积物的毒性。此外,对于某些类别的污染物,如多环芳烃(PAHs),不利影响可以建模为混合物,使模型在实际应用中有用,其中污染物很少单独发生。尽管在预测沉积物毒性的机制模型的开发和应用方面取得了令人印象深刻的进展,但仍有几个关键的研究需要解决。这些需求和其他需求代表了继续发展和应用机制模型的下一个前沿领域,这些模型可以向环境科学家、管理人员和决策者通报与受污染沉积物有关的风险。
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来源期刊
CiteScore
7.40
自引率
9.80%
发文量
265
审稿时长
3.4 months
期刊介绍: The Society of Environmental Toxicology and Chemistry (SETAC) publishes two journals: Environmental Toxicology and Chemistry (ET&C) and Integrated Environmental Assessment and Management (IEAM). Environmental Toxicology and Chemistry is dedicated to furthering scientific knowledge and disseminating information on environmental toxicology and chemistry, including the application of these sciences to risk assessment.[...] Environmental Toxicology and Chemistry is interdisciplinary in scope and integrates the fields of environmental toxicology; environmental, analytical, and molecular chemistry; ecology; physiology; biochemistry; microbiology; genetics; genomics; environmental engineering; chemical, environmental, and biological modeling; epidemiology; and earth sciences. ET&C seeks to publish papers describing original experimental or theoretical work that significantly advances understanding in the area of environmental toxicology, environmental chemistry and hazard/risk assessment. Emphasis is given to papers that enhance capabilities for the prediction, measurement, and assessment of the fate and effects of chemicals in the environment, rather than simply providing additional data. The scientific impact of papers is judged in terms of the breadth and depth of the findings and the expected influence on existing or future scientific practice. Methodological papers must make clear not only how the work differs from existing practice, but the significance of these differences to the field. Site-based research or monitoring must have regional or global implications beyond the particular site, such as evaluating processes, mechanisms, or theory under a natural environmental setting.
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