COMPUTATIONAL NANOTOXICOLOGY Predicting toxicity of nanoparticles

被引：34

作者：

Burello, Enrico ^{[1
]}

Worth, Andrew ^{[1
]}

机构：

[1] Commiss European Communities, Joint Res Ctr, Syst Toxicol Unit, Inst Hlth & Consumer Protect, I-21020 Ispra, VA, Italy

来源：

NATURE NANOTECHNOLOGY | 2011年 / 6卷 / 03期

关键词：

D O I：

10.1038/nnano.2011.27

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 ; 080502 ;

摘要：

A statistical model based on a quantitative structure–activity relationship accurately predicts the cytotoxicity of various metal oxide nanoparticles, thus offering a way to rapidly screen nanomaterials and prioritize testing.

引用

页码：138 / 139

页数：2

共 5 条

[1] Towards a definition of inorganic nanoparticles from an environmental, health and safety perspective [J].

Auffan, Melanie ;

Rose, Jerome ;

Bottero, Jean-Yves ;

Lowry, Gregory V. ;

Jolivet, Jean-Pierre ;

Wiesner, Mark R. .

NATURE NANOTECHNOLOGY, 2009, 4 (10) :634-641

[2] How can ab initio simulations address risks in nanotech? [J].

Barnard, Amanda S. .

NATURE NANOTECHNOLOGY, 2009, 4 (06) :332-335

[3] Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles [J].

Puzyn, Tomasz ;

Rasulev, Bakhtiyor ;

Gajewicz, Agnieszka ;

Hu, Xiaoke ;

Dasari, Thabitha P. ;

Michalkova, Andrea ;

Hwang, Huey-Min ;

Toropov, Andrey ;

Leszczynska, Danuta ;

Leszczynski, Jerzy .

NATURE NANOTECHNOLOGY, 2011, 6 (03) :175-178

[4] Toward the Development of "Nano-QSARs": Advances and Challenges [J].

Puzyn, Tomasz ;

Leszczynska, Danuta ;

Leszczynski, Jerzy .

SMALL, 2009, 5 (22) :2494-2509

[5]

Xia XR, 2010, NAT NANOTECHNOL, V5, P671, DOI [10.1038/NNANO.2010.164, 10.1038/nnano.2010.164]

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