Gottschalk Fadri, Debray Bruno, Klaessig Fred, Park Barry, Lacome Jean-Marc, Vignes Alexis, Portillo Vicenç Pomar, Vázquez-Campos Socorro, Hendren Christine Ogilvie, Lofts Stephen, Harrison Samuel, Svendsen Claus, Kaegi Ralf
ETSS AG, Engineering, Technical and Scientific Services, Strada, Switzerland.
Institut national de l'environment industriel et des risques, Verneuil-en-Halatte, France.
Nat Nanotechnol. 2023 Apr;18(4):412-418. doi: 10.1038/s41565-022-01290-2. Epub 2023 Feb 2.
Challenges in distinguishing between natural and engineered nanomaterials (ENMs) and the lack of historical records on ENM accidents have hampered attempts to estimate the accidental release and associated environmental impacts of ENMs. Building on knowledge from the nuclear power industry, we provide an assessment of the likelihood of accidental release rates of ENMs within the next 10 and 30 years. We evaluate risk predictive methodology and compare the results with empirical evidence, which enables us to propose modelling approaches to estimate accidental release risk probabilities. Results from two independent modelling approaches based on either assigning 0.5% of reported accidents to ENM-releasing accidents (M1) or based on an evaluation of expert opinions (M2) correlate well and predict severe accidental release of 7% (M1) in the next 10 years and of 10% and 20% for M2 and M1, respectively, in the next 30 years. We discuss the relevance of these results in a regulatory context.
区分天然纳米材料和工程纳米材料(ENM)存在挑战,且缺乏ENM事故的历史记录,这阻碍了人们对ENM意外释放及其相关环境影响进行估算的尝试。基于核电行业的知识,我们对未来10年和30年内ENM意外释放率的可能性进行了评估。我们评估了风险预测方法,并将结果与实证证据进行比较,这使我们能够提出估算意外释放风险概率的建模方法。两种独立建模方法的结果——一种是将报告事故的0.5%归为ENM释放事故(M1),另一种是基于专家意见评估(M2)——相关性良好,并预测未来10年严重意外释放的概率为7%(M1),未来30年M2和M1分别为10%和20%。我们在监管背景下讨论了这些结果的相关性。