Hong Hyunjoo, Nowack Bernd
Empa, Swiss Federal Laboratories for Materials Science and Technologies, Technology and Society Laboratory, Lerchenfeldstrasse 5, St. Gallen 9014, Switzerland.
Environ Sci Technol. 2024 Dec 10;58(49):21750-21759. doi: 10.1021/acs.est.4c05153. Epub 2024 Nov 27.
As graphene-based materials (GBMs) such as pristine graphene, graphene oxide, and reduced graphene oxide show great potential to be integrated in various applications, the need for environmental risk assessments grows, aiming to navigate the environmental fate and potential risk of the different forms of GBM. This study used dynamic probabilistic material flow analysis (DPMFA) to ascertain the prospective production volumes and distribution of GBMs within European freshwaters. The hazard assessment leveraged 113 data sets from peer-reviewed studies, addressing aquatic ecotoxicity across 26 species, by performing probabilistic species sensitivity distributions (SSD). Our findings reveal distinct environmental distribution patterns for GBM forms with predicted environmental concentrations in European freshwaters by 2030 of approximately 0.67 ng/L (SD = 0.24 ng/L) for pristine graphene and 0.33 ng/L (SD = 0.10 ng/L) for both graphene oxide and reduced graphene oxide, suggesting not only similar but notably minimal exposure levels. The risk characterization ratios (RCRs) for all forms of GBM were significantly below 1, indicating a negligible environmental risk within the scenarios assessed. Through detailed analysis considering the forms of the material, this research can inform regulatory decisions, support sustainable material design, and provide a solid foundation for a further investigation considering the environmental fate of GBM.
由于原始石墨烯、氧化石墨烯和还原氧化石墨烯等基于石墨烯的材料(GBMs)在各种应用中显示出巨大的整合潜力,对环境风险评估的需求也在增加,旨在了解不同形式GBM的环境归宿和潜在风险。本研究使用动态概率物质流分析(DPMFA)来确定GBMs在欧洲淡水中的预期产量和分布。危害评估利用了来自同行评审研究的113个数据集,通过进行概率物种敏感性分布(SSD)来评估26个物种的水生生态毒性。我们的研究结果揭示了GBM形式的不同环境分布模式,到2030年,欧洲淡水中原始石墨烯的预测环境浓度约为0.67 ng/L(标准差=0.24 ng/L),氧化石墨烯和还原氧化石墨烯均为0.33 ng/L(标准差=0.10 ng/L),这不仅表明暴露水平相似,而且显著较低。所有形式GBM的风险特征比率(RCRs)均显著低于1,表明在所评估的情景中环境风险可忽略不计。通过考虑材料形式的详细分析,本研究可为监管决策提供参考,支持可持续材料设计,并为进一步研究GBM的环境归宿提供坚实基础。