Literature DB >> 28651428

Development of Theoretical Descriptors for Cytotoxicity Evaluation of Metallic Nanoparticles.

D W Boukhvalov1, T H Yoon1.   

Abstract

Motivated by the recent development of quantitative structure-activity relationship (QSAR) methods in the area of nanotoxicology, we proposed an approach to develop additional descriptors based on results of first-principles calculations. For the evaluation of the biochemical activity of metallic nanoparticles, we consider two processes: ion extraction from the surface of a specimen to aqueous media and water dissociation on the surface. We performed calculations for a set of metals (Al, Fe, Cu, Ag, Au, and Pt). Taking into account the diversity of atomic structures of real metallic nanoparticles, we performed calculations for different models such as (001) and (111) surfaces, nanorods, and two different cubic nanoparticles of 0.6 and 0.3 nm size. Significant energy dependence of the processes from the selected model of nanoparticle suggests that for the correct description we should combine the calculations for several representative models. In addition to the descriptors of chemical activity of the metallic nanoparticles for the two studied processes, we propose descriptors for taking into account the dependence of chemical activity from the size and shape of nanoparticles. Routes to minimization of computational costs for these calculations are also discussed.

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Year:  2017        PMID: 28651428     DOI: 10.1021/acs.chemrestox.7b00026

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  1 in total

Review 1.  Nano-(Q)SAR for Cytotoxicity Prediction of Engineered Nanomaterials.

Authors:  Andrey A Buglak; Anatoly V Zherdev; Boris B Dzantiev
Journal:  Molecules       Date:  2019-12-11       Impact factor: 4.411

  1 in total

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