Ying Jiali, Zhang Ting, Tang Meng
Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China.
Jiangsu key Laboratory for Biomaterials and Devices, Southeast University, Nanjing 210009, China.
Nanomaterials (Basel). 2015 Oct 12;5(4):1620-1637. doi: 10.3390/nano5041620.
Metal oxide nanomaterials are widely used in various areas; however, the divergent published toxicology data makes it difficult to determine whether there is a risk associated with exposure to metal oxide nanomaterials. The application of quantitative structure activity relationship (QSAR) modeling in metal oxide nanomaterials toxicity studies can reduce the need for time-consuming and resource-intensive nanotoxicity tests. The nanostructure and inorganic composition of metal oxide nanomaterials makes this approach different from classical QSAR study; this review lists and classifies some structural descriptors, such as size, cation charge, and band gap energy, in recent metal oxide nanomaterials quantitative nanostructure activity relationship (QNAR) studies and discusses the mechanism of metal oxide nanomaterials toxicity based on these descriptors and traditional nanotoxicity tests.
金属氧化物纳米材料在各个领域都有广泛应用；然而，已发表的毒理学数据存在差异，这使得难以确定接触金属氧化物纳米材料是否存在风险。定量构效关系（QSAR）模型在金属氧化物纳米材料毒性研究中的应用可以减少对耗时且资源密集的纳米毒性测试的需求。金属氧化物纳米材料的纳米结构和无机组成使得这种方法不同于经典的QSAR研究；本综述列出并分类了近期金属氧化物纳米材料定量纳米结构活性关系（QNAR）研究中的一些结构描述符，如尺寸、阳离子电荷和带隙能量，并基于这些描述符和传统的纳米毒性测试讨论了金属氧化物纳米材料的毒性机制。
