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针对杀虫剂生态风险评估的暴露模式特异性物种敏感性分布。

Exposure pattern-specific species sensitivity distributions for the ecological risk assessments of insecticides.

机构信息

Wageningen Environmental Research, P.O. Box 47, 6700, AA Wageningen, the Netherlands; Aquatic Ecology and Water Quality Management Group, Wageningen University, P.O. Box 47, 6700, AA Wageningen, the Netherlands.

Aquatic Ecology and Water Quality Management Group, Wageningen University, P.O. Box 47, 6700, AA Wageningen, the Netherlands.

出版信息

Ecotoxicol Environ Saf. 2019 Sep 30;180:252-258. doi: 10.1016/j.ecoenv.2019.05.022. Epub 2019 May 13.

Abstract

In the higher tiers of pesticide risk assessment, the Species Sensitivity Distribution (SSD) concept is often used to establish the effect threshold defined as the concentration protecting 95% of the species (Hazardous Concentration 5%, HC5). The toxicity data included in SSDs are normally established using a constant exposure regime. However, the exposure of pesticides in the field is often characterised by a variable exposure regime. Toxicokinetic-toxicodynamic (TKTD) models can be used to extrapolate the toxic effects of a chemical to a specific, time-variable exposure regime. The aim of this paper was to develop Exposure Pattern Specific SSDs (EPS-SSDs) for three insecticides using TKTD models and to compare the HC5 of different exposure patterns with the same time-weighted average concentration to evaluate whether the use of EPS-SSDs would change the outcome of the ecological risk assessment. The EPS-SSDs were developed by estimating TKTD parameters for the compounds chlorpyrifos, imidacloprid and lambda-cyhalothrin using results from standard, 96 h, single species tests. These parameter estimates were used for TKTD modelling to determine toxicity thresholds (e.g. LC10 and LC50) for contrasting exposure patterns after certain evaluation times (4, 10 or 100 days). HC5 values were constructed with TKTD-predicted LC10- and LC50- values for different exposure patterns characterised by similar time-weighted average concentrations. Differences between those HC5 values ranged from a factor 1 to a factor 2.3 for the short evaluation period (4 d). This difference was smaller when using an evaluation period of 10 days instead of 4 days and selecting the TKTD-predicted LC10 instead of TKTD-predicted LC50 based HC5s. For the long term evaluation period (100 d), a maximum difference of a factor of 30 was found.

摘要

在农药风险评估的较高层次上,通常使用物种敏感性分布 (SSD) 概念来确定定义为保护 95%物种的浓度的效应阈值(危害浓度 5%,HC5)。SSD 中包含的毒性数据通常是使用恒定暴露制度建立的。然而,农药在田间的暴露通常具有可变的暴露制度。毒代动力学-毒效动力学 (TKTD) 模型可用于将化学物质的毒性效应外推到特定的、随时间变化的暴露制度。本文的目的是使用 TKTD 模型为三种杀虫剂开发特定暴露模式的 SSD(EPS-SSDs),并比较不同暴露模式的 HC5 与相同时间加权平均浓度,以评估使用 EPS-SSDs 是否会改变生态风险评估的结果。通过使用标准、96 小时、单一物种测试的结果估计化合物毒死蜱、吡虫啉和氯氟氰菊酯的 TKTD 参数来开发 EPS-SSDs。这些参数估计值用于 TKTD 建模,以在特定评估时间(4、10 或 100 天)后确定不同暴露模式的毒性阈值(例如 LC10 和 LC50)。使用具有相似时间加权平均浓度的不同暴露模式的 TKTD 预测 LC10 和 LC50 值构建 HC5 值。对于短期评估期(4 天),这些 HC5 值之间的差异从 1 倍到 2.3 倍不等。当使用 10 天而不是 4 天的评估期并且选择基于 TKTD 预测的 LC10 而不是基于 TKTD 预测的 LC50 的 HC5 时,这种差异较小。对于长期评估期(100 天),发现最大差异为 30 倍。

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