The benchmark dose has been frequently recommended for the creation of points of departure for regulatory dose limits, but many regulations, including pesticide risk assessment and registration in the United States, continues to rely on NOAEL methods as the OECD toxicological standard methods recommend. This study used data from studies in support of pesticide registration for eight different compounds to build dose-response models and calculate benchmark doses and confidence limits. The results were compared to the NOAEL of the same study. A probabilistic estimate of dose was compared with all points of departure to demonstrate differences in the protective ability of each different selected limit. While neither the BMD/BMDL nor the NOAEL was consistently more protective, the advantage of using the BMD in quantifying the uncertainty of the point of departure is highlighted, and the feasibility of using current OECD-guideline studies for derivation of a BMD is demonstrated in these cases.

中文翻译：

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使用基准剂量模型对仁果生产中使用的八种农药的职业处理人员进行风险评估。

基准剂量经常被建议用于建立监管剂量限值的出发点，但许多法规，包括美国的农药风险评估和登记，继续依赖 NOAEL 方法，正如 OECD 毒理学标准方法所建议的那样。本研究使用支持八种不同化合物农药登记的研究数据来建立剂量反应模型并计算基准剂量和置信限。将结果与同一研究的 NOAEL 进行比较。将剂量的概率估计与所有出发点进行比较，以证明每个不同选定限值的保护能力的差异。虽然 BMD/BMDL 和 NOAEL 都始终没有更具保护性，但强调了使用 BMD 在量化出发点不确定性方面的优势，并且使用当前 OECD 指南研究推导 BMD 的可行性在这些案例。