开发不利结果途径以支持放射性生态风险评估:挑战和见解
E Dufourcq-Sekatcheff1, L Quevarec1, M-L Delignette-Muller2
1Institut de Radioprotection et de Sûreté Nucléaire (IRSN), Laboratoire d'Ecologie et d'Ecotoxicologie des Radionucléides, Cadarache, 13115 France Saint Paul-Lez-Durance.
Environmental toxicology and chemistry
|January 28, 2025
概括
整合新方法方法 (NAM) 和不利结果途径 (AOP) 框架可以改善放射生态学.
科学领域:
- 辐射生态学 辐射生态学
- 环境毒理学环境毒理学
- 生态风险评估 生态风险评估
背景情况:
- 目前的放射生态方法缺乏生态现实主义,经常忽视像基因毒性这样的亚个体效应.
- 现有的方法,就像ICRP的方法一样,专注于暴露和人口层面的影响,忽视了关键的分子和亚个体数据.
- 需要先进的方法来在风险评估中将分子数据与生态影响联系起来.
研究的目的:
- 审查和建议将新方法方法 (NAM) 和不利结果途径 (AOP) 框架纳入放射生态学.
- 解决放射生态学当前生态风险评估 (ERA) 的局限性,特别是关于生态现实主义和次个体影响.
- 增强对辐射暴露导致分子变化如何导致不良生态结果的理解.
主要方法:
- 审查将AOP应用于放射生态学的挑战,包括暴露建模和多重压力因素.
- 在AOP框架内突出NAM (in silico,in vitro) 的潜力,以改善风险评估.
- 探索解决方案,以增加数据量和生态现实主义在ERA使用AOP和未经调查的终点.
主要成果:
- 在不仅仅依赖于动物试验的情况下,NAM可以提供预测性见解.
- AOP框架提供了一种结构化的方式,将分子事件与生态影响联系起来.
- 整合NAM和AOP可以增强物种现实性,并将子个体数据纳入ERA.
结论:
- 利用NAM和AOP对于将分子数据与放射生态学的生态影响联系起来至关重要.
- 这种整合推进了监管实践,并确保了更好的生态系统保护免受辐射危害.
- 采用这些方法导致更全面和生态相关的风险评估.
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