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Guidance for improving comparability and relevance of oil toxicity tests

机译:改善油毒性试验的可比性和相关性的指南

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The complex nature and limited aqueous solubility of petroleum substances pose challenges for consistently characterizing exposures in aquatic life hazard assessments. This paper reviews important considerations for the design, conduct and interpretation of laboratory toxicity tests with physically and chemically dispersed oils based on an understanding of the behavior and toxicity of the hydrocarbons that comprise these substances. Guiding principles are provided that emphasize the critical need to understand and, when possible, characterize dissolved hydrocarbon exposures that dictate observed toxicity in these tests. These principles provide a consistent framework for interpreting toxicity studies performed using different substances and test methods by allowing varying dissolved exposures to be expressed in terms of a common metric based on toxic units (TUs). The use of passive sampling methods is also advocated since such analyses provide an analytical surrogate for TUs. The proposed guidance is translated into a series of questions that can be used in evaluating existing data and in guiding design of future studies. Application of these questions to a number of recent publications indicates such considerations are often ignored, thus perpetuating the difficulty of interpreting and comparing results between studies and limiting data use in objective hazard assessment. Greater attention to these principles will increase the comparability and utility of oil toxicity data in decision-making. (C) 2015 Elsevier Ltd. All rights reserved.
机译:石油物质的复杂性质和有限的水溶解度提出了在水生生物危害评估中一致地表征暴露量的挑战。本文基于对包含这些物质的碳氢化合物的行为和毒性的理解,回顾了对使用物理和化学分散油进行的实验室毒性测试的设计,进行和解释的重要考虑。提供的指导原则强调了理解和在可能的情况下表征溶解碳氢化合物暴露的关键需求,这些暴露指示了这些测试中观察到的毒性。这些原则通过允许使用基于毒性单位(TU)的通用指标来表示不同的溶解暴露量,从而为解释使用不同物质和测试方法进行的毒性研究提供了一个一致的框架。还提倡使用无源采样方法,因为此类分析为TU提供了分析替代。拟议的指南转化为一系列问题,可用于评估现有数据和指导未来研究的设计。这些问题在许多最新出版物中的应用表明,通常忽略了这些考虑因素,从而使研究之间的解释和比较结果难以维持,并限制了客观危害评估中数据的使用。对这些原则的更多关注将提高石油毒性数据在决策中的可比性和实用性。 (C)2015 Elsevier Ltd.保留所有权利。

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