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Evaluation of the Effects of Nanoparticle Mixtures on Brassica Seed Germination and Bacterial Bioluminescence Activity Based on the Theory of Probability

机译:基于概率理论的纳米颗粒混合物对甘蓝型油菜种子萌发和细菌生物发光活性影响的评价

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摘要

Effects of binary mixtures of six metal oxide nanoparticles (NPs; 54 combinations) on the activities of seed germination and bacterial bioluminescence were investigated using the theory of probability. The observed toxicities of various NPs combinations were compared with the theoretically expected toxicities, calculated based on individual NPs toxicities. Different sensitivities were observed depending on the concentrations and the types of NPs. The synergistic mode (67%; observed toxicity greater than expected toxicity) was predominantly observed in the bioluminescence test, whereas both synergistic (47%) and additive (50%) modes were prevalent in the activity of seed germination. With regard to overall analysis, a slightly high percentage (56%) of the synergistic mode of action was (30 out of 54 binary mixture combinations; p < 0.0392) observed. These results suggest that the exposure of an NPs mixture in the environment may lead to a similar or higher toxicity level than the sum of its constituent NPs would suggest. In addition, one organism for assessment did not always show same results as those from a different assessment. Therefore, combining results of different organisms exposed to a wide range of concentrations of binary mixture will more properly predict and evaluate the expected ecotoxicity of pollutants on environments.
机译:使用概率论研究了六种金属氧化物纳米颗粒(NP; 54种组合)的二元混合物对种子萌发和细菌生物发光活性的影响。将观察到的各种NP组合的毒性与基于单个NP毒性计算的理论预期毒性进行比较。根据NP的浓度和类型,观察到不同的敏感性。在生物发光测试中主要观察到协同模式(67%;观察到的毒性大于预期的毒性),而在种子萌发活动中,协同模式(47%)和加性模式(50%)均很普遍。关于整体分析,观察到协同作用方式的百分比较高(56%)(54种二元混合物组合中的30种; p <0.0392)。这些结果表明,NPs混合物在环境中的暴露可能导致与其组成NPs的总和相似或更高的毒性水平。此外,一种进行评估的生物并不总是与其他评估显示出相同的结果。因此,将暴露于各种浓度的二元混合物中的不同生物的结果结合起来,将更恰当地预测和评估污染物对环境的预期生态毒性。

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