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基于概率理论评估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的影响。

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

作者信息

Ko Kyung-Seok, Koh Dong-Chan, Kong In Chul

机构信息

Geologic Environment Division, Korea Institute of Geoscience & Mineral Resources (KIGAM), Daejeon 34132, Korea.

Department of Mineral & Groundwater Resources, University of Science and Technology, Daejeon 34113, Korea.

出版信息

Nanomaterials (Basel). 2017 Oct 23;7(10):344. doi: 10.3390/nano7100344.

DOI:10.3390/nano7100344
PMID:29065519
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5666509/
Abstract

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; < 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.

摘要

运用概率理论研究了六种金属氧化物纳米颗粒(NPs)二元混合物(54种组合)对种子萌发活性和细菌生物发光的影响。将各种NPs组合观察到的毒性与根据单个NPs毒性计算出的理论预期毒性进行了比较。根据NPs的浓度和类型观察到了不同的敏感性。在生物发光试验中主要观察到协同模式(67%;观察到的毒性大于预期毒性),而在种子萌发活性中协同(47%)和相加(50%)模式都很普遍。关于总体分析,观察到略高比例(56%)的协同作用模式(54种二元混合物组合中的30种;<0.0392)。这些结果表明,环境中NPs混合物的暴露可能导致比其组成NPs之和所表明的毒性水平相似或更高。此外,用于评估的一种生物并不总是显示出与另一种不同评估相同的结果。因此,结合不同生物在广泛浓度二元混合物下的暴露结果,将能更恰当地预测和评估污染物对环境的预期生态毒性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c1/5666509/e0eef255fe82/nanomaterials-07-00344-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c1/5666509/fbb0b009acc7/nanomaterials-07-00344-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c1/5666509/aa937512cdeb/nanomaterials-07-00344-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c1/5666509/289bbf82fa08/nanomaterials-07-00344-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c1/5666509/e0eef255fe82/nanomaterials-07-00344-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c1/5666509/fbb0b009acc7/nanomaterials-07-00344-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c1/5666509/aa937512cdeb/nanomaterials-07-00344-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c1/5666509/289bbf82fa08/nanomaterials-07-00344-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c1/5666509/e0eef255fe82/nanomaterials-07-00344-g004.jpg

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