Metal Oxide Nanomaterial QNAR Models: Available Structural Descriptors and Understanding of Toxicity MechanismsReportar como inadecuado


Metal Oxide Nanomaterial QNAR Models: Available Structural Descriptors and Understanding of Toxicity Mechanisms


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1

Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing 210009, China

2

Jiangsu key Laboratory for Biomaterials and Devices, Southeast University, Nanjing 210009, China



These authors contributed equally to this work.





*

Authors to whom correspondence should be addressed.



Academic Editor: Jiye Fang

Abstract 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. View Full-Text

Keywords: nanotoxicology; metal oxide; quantitative structure activity relationship QSAR; descriptor; toxicity mechanisms nanotoxicology; metal oxide; quantitative structure activity relationship QSAR; descriptor; toxicity mechanisms





Autor: Jiali Ying 1,2,†, Ting Zhang 1,2,†,* and Meng Tang 1,2,*

Fuente: http://mdpi.com/



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