The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Low-toxic and safe nanomaterials by surface-chemical design, carbon nanotubes, fullerenes, metallofullerenes, and graphenes
Abstract
The toxicity grade for a bulk material can be approximately determined by three factors (chemical composition, dose, and exposure route). However, for a nanomaterial it depends on more than ten factors. Interestingly, some nano-factors (like huge surface adsorbability, small size, etc.) that endow nanomaterials with new biomedical functions are also potential causes leading to toxicity or damage to the living organism. Is it possible to create safe nanomaterials if such a number of complicated factors need to be regulated? We herein try to find answers to this important question. We first discuss chemical processes that are applicable for nanosurface modifications, in order to improve biocompatibility, regulate ADME, and reduce the toxicity of carbon nanomaterials (carbon nanotubes, fullerenes, metallofullerenes, and graphenes). Then the biological/toxicological effects of surface-modified and unmodified carbon nanomaterials are comparatively discussed from two aspects: the lowered toxic responses or the enhanced biomedical functions. We summarize the eight biggest challenges in creating low-toxicity and safer nanomaterials and some significant topics of future research needs: to find out safer nanofactors; to establish controllable surface modifications and simpler chemistries for low-toxic nanomaterials; to explore the nanotoxicity mechanisms; to justify the validity of current toxicological theories in nanotoxicology; to create standardized nanomaterials for toxicity tests; to build theoretical models for cellular and molecular interactions of nanoparticles; and to establish systematical knowledge frameworks for nanotoxicology.
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Cites
Noncovalent sidewall functionalization of single-walled carbon nanotubes for protein immobilization
Chen, R. J., Zhang, Y., Wang, D., & Dai, H. (2001) · Journal of the American Chemical Society · doi:10.1021/ja010172b · Cited by 2,534
A route to brightly fluorescent carbon nanotubes for near-infrared imaging in mice
Welsher, K., Liu, Z., Sherlock, S. P., Robinson, J. T., Chen, Z., Daranciang, D., & Dai, H. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.294 · Cited by 1,287
Direct imaging of single-walled carbon nanotubes in cells
Porter, A. E., Gass, M., Muller, K., Skepper, J. N., Midgley, P. A., & Welland, M. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.347 · Cited by 564
Clastogenic and aneugenic effects of multi-wall carbon nanotubes in epithelial cells
Muller, J., Decordier, I., Hoet, P. H., Lombaert, N., Thomassen, L., Huaux, F., Lison, D., & Kirsch-Volders, M. (2008) · Carcinogenesis · doi:10.1093/carcin/bgm243 · Cited by 298
Functionalization of carbon nanotubes via 1,3-dipolar cycloadditions
Tagmatarchis, N., & Prato, M. (2004) · Journal of Materials Chemistry · doi:10.1039/b314039c · Cited by 293
Cited by
Popov, A. A., Yang, S., & Dunsch, L. (2013) · Chemical Reviews · doi:10.1021/cr300297r · Cited by 1,256
Schirinzi, G. F., Pérez-Pomeda, I., Sanchís, J., Rossini, C., Farré, M., & Barceló, D. (2017) · Environmental Research · doi:10.1016/j.envres.2017.08.043 · Cited by 902
Nanotoxicity of Graphene and Graphene Oxide
Seabra, A. B., Paula, A. J., de Lima, R., Alves, O. L., & Durán, N. (2014) · Chemical Research in Toxicology · doi:10.1021/tx400385x · Cited by 893
Foroozandeh, P., & Aziz, A. A. (2015) · Nanoscale Research Letters · doi:10.1186/s11671-015-0922-3 · Cited by 143
Toyokuni, S. (2019) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2018.10.401 · Cited by 96
Metadata
- Authors
- Yan, L., Zhao, F., Li, S., Hu, Z., & Zhao, Y.
- Venue
- Nanoscale
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2011
- Volume
- 3
- Issue
- 2
- Pages
- 362-382
- ISSN
- 2040-3364 (ISSN-L)
- 2040-3372
- OpenAlex
- W2165618602
- Cited by
- 300
- References
- 5
- FWCI
- 12.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yan, L., Zhao, F., Li, S., Hu, Z., & Zhao, Y. (2011). Low-toxic and safe nanomaterials by surface-chemical design, carbon nanotubes, fullerenes, metallofullerenes, and graphenes. Nanoscale. https://doi.org/10.1039/c0nr00647e
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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