Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, 10617, Taiwan, ROC.
Sci Total Environ. 2012 Mar 15;420:111-8. doi: 10.1016/j.scitotenv.2012.01.023. Epub 2012 Feb 10.
The manufacture of large quantities of engineered nanomaterials (NMs) may lead to unintended contamination of aquatic ecosystems. Biologically based monitoring techniques need to be developed to detect these emerging NMs. The purpose of this study was to develop a risk-based probability model to predict the potential hazards of nanoecotoxicity toward aquatic organisms posed by waterborne copper and silver nanoparticles (Cu/Ag NPs). Published experimental evidence based on Cu/Ag NP-zebrafish (Danio rerio) systems was adopted as the study data. A Hill model was used to reconstruct a concentration-mortality response profile. A cumulative Weibull predictive model was employed to estimate exposure thresholds. The derived probabilistic model can predict the potential risk of environmentally relevant Cu/Ag NPs for major Taiwanese rivers with predicted environmental concentrations of 0.06 (95% confidence interval (CI): 0.01-0.92) mgL(-1) for Cu NPs and 0.04 (0.01-0.11) mgL(-1) for Ag NPs. The results indicated that estimated thresholds were 0.10-0.48mgL(-1) (95% CI) for Cu NPs and 2.69-2.73mgL(-1) for Ag NPs. The probabilities of a risk quotient (RQ) of >1 ranged 17%-81% for zebrafish exposed to Cu NPs. This study found that Ag NP exposure scenarios posed no significant risks to zebrafish (RQ≪0.1).
大量工程纳米材料（NMs）的制造可能导致水生生态系统的意外污染。需要开发基于生物学的监测技术来检测这些新兴的纳米材料。本研究的目的是开发一种基于风险的概率模型，以预测水载铜和银纳米颗粒（Cu/Ag NPs）对水生生物的纳米生态毒性的潜在危害。采用了基于 Cu/Ag NP-斑马鱼（Danio rerio）系统的已发表实验证据作为研究数据。采用 Hill 模型重建浓度-死亡率反应曲线。采用累积 Weibull 预测模型估计暴露阈值。推导的概率模型可以预测与台湾主要河流相关的环境相关 Cu/Ag NPs 的潜在风险，预测环境浓度为 0.06（95%置信区间（CI）：0.01-0.92）mgL（-1）的 Cu NPs 和 0.04（0.01-0.11）mgL（-1）的 Ag NPs。结果表明，估计阈值为 0.10-0.48mgL（-1）（95%CI）的 Cu NPs 和 2.69-2.73mgL（-1）的 Ag NPs。暴露于 Cu NPs 的斑马鱼的风险商数（RQ）>1的概率为 17%-81%。本研究发现，Ag NP 暴露情况对斑马鱼没有显著风险（RQ<0.1）。
