生态危害和环境混合物的风险的计算表征
, Seta Noventa1, S Jannicke Moe2
1Italian Institute for Environmental Protection and Research (ISPRA) Chioggia Italy.
EFSA journal. European Food Safety Authority
|December 17, 2025
概括
这项研究通过将化学混合物数据与基于机制的危险评估结合起来,利用新方法方法学,推进了生态风险评估. 它展示了一个基于组件的混合物风险评估框架,用于改进环境安全评估.
科学领域:
- 环境毒理学环境毒理学
- 计算毒理学计算毒理学
- 风险评估 风险评估
背景情况:
- 下一代风险评估 (NGRA) 需要评估化学混合物并使用基于机制的危险评估与新方法方法 (NAMs).
- 现有的框架往往难以将复杂的混合数据和NAM衍生的机制性见解纳入生态风险评估.
研究的目的:
- 展示基于组分的混合物风险评估 (CBMRA) 框架,其中包括高通量查 (HTS) 生物活性数据和定量不良结果途径 (qAOPs).
- 将该框架应用于淡水环境中的农药数据,评估特定AOP级联的潜在启动.
- 评估基于NAM的CBMRA的优点和局限性,以便通过监管.
主要方法:
- 利用已发表的QAOP (AOP#245) 模拟水生植物通过线粒体解的生长抑制.
- 综合农药监测数据与ToxCast/Tox21生物活性数据,以推导混合物评估的疗效.
- 用于填补数据缺口的形方法和用于概率不确定性分析的贝叶斯网络 (BN).
主要成果:
- 证明了基于NAM的CBMRA框架的可行性,使用与农药混合物数据的案例研究.
- 成功地将农药的生物活性映射到qAOP,使得同效率评估和扩展化学领域.
- 确定了概念和技术创新,以及对监管实施的研究需求.
结论:
- 基于NAM的CBMRA框架显示出对化学混合物的机械生态风险评估的希望.
- 疗效评估是扩大QAOP在风险评估中的适用性的一个关键策略.
- 进一步的研究和改进是必要的,以便监管机构接受这种先进的风险评估方法.
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