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建模化学品的亚致死效应:简化动态能量预算模型在标准生态毒性数据中的应用。

Modeling Sublethal Effects of Chemicals: Application of a Simplified Dynamic Energy Budget Model to Standard Ecotoxicity Data.

机构信息

Jealott's Hill International Research Centre, Syngenta, Bracknell, Berkshire RG42 6EY, U.K.

Syngenta Crop Protection, LLC, Greensboro, North Carolina 27419, United States.

出版信息

Environ Sci Technol. 2020 Jun 16;54(12):7420-7429. doi: 10.1021/acs.est.0c00140. Epub 2020 Jun 5.

Abstract

To assess ecological risks from chemical exposure, we need tools to extrapolate from the sublethal effects observed in the laboratory under constant exposure to realistic time-varying exposures. Dynamic energy budget (DEB) theory offers a mechanistic modeling approach to describe the entire life history of a single organism and the effects of toxicant exposure. We use a simplified model, which can be wholly calibrated from standard chronic bioassay data. Case studies on standard test organisms ( and ) are presented to demonstrate the calibration procedure, and for the second case, data are available to pseudovalidate model performance. We use these results to highlight gaps and shortcomings in the current state of the science, and we discuss how these can be overcome to maximize the potential of DEB theory in ecological risk assessment.

摘要

为了评估化学暴露的生态风险,我们需要工具将实验室中在恒定暴露下观察到的亚致死效应外推到现实的时变暴露。动态能量预算(DEB)理论提供了一种机械建模方法来描述单个生物体的整个生命史以及毒物暴露的影响。我们使用一种简化的模型,该模型可以完全从标准慢性生物测定数据中进行校准。标准测试生物(和)的案例研究用于演示校准过程,对于第二个案例,有数据可用于伪验证模型性能。我们使用这些结果来突出当前科学状态的差距和不足,并讨论如何克服这些问题,以最大限度地发挥 DEB 理论在生态风险评估中的潜力。

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