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Cited by 363

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Challenge in understanding size and shape dependent toxicity of gold nanomaterials in human skin keratinocytes

Open access
Wang, Shuguang, Lu, Wentong, Tovmachenko, Oleg, Rai, Uma Shanker, Yu, Hongtao, Ray, Paresh Chandra·2008·Chemical Physics Letters

Abstract

As the nanotechnology field continues to develop, assessing nanoparticle toxicity is very important for advancing nanoparticles for biomedical application. Here we report cytotoxicity of gold nanomaterial of different size and shape using MTT test, absorption spectroscopy and TEM. Spherical gold nanoparticles with different sizes are not inherently toxic to human skin cells, but gold nanorods are highly toxic due to the presence of CTAB as coating material. Due to CTAB toxicity, and aggregation of gold nanomaterials in the presence of cell media, it is a real challenge to study the cytotoxicity of gold nanomaterials individually.

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Crossref · 10.1016/j.cplett.2008.08.039

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Metadata

Authors
Wang, S., Lu, W., Tovmachenko, O., Rai, U. S., Yu, H., & Ray, P. C.
Venue
Chemical Physics Letters
Publisher
Elsevier BV
Published
2008-09
Volume
463
Issue
1-3
Pages
145-149
ISSN
0009-2614 (ISSN-L)
OpenAlex
W2083217909
Cited by
363
References
2
FWCI
5.32
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Challenge in understanding size and shape dependent toxicity of gold nanomaterials in human skin keratinocytes. https://app.cochat.ai/papers/10.1016/j.cplett.2008.08.039
The paper
Wang, S., Lu, W., Tovmachenko, O., Rai, U. S., Yu, H., & Ray, P. C. (2008). Challenge in understanding size and shape dependent toxicity of gold nanomaterials in human skin keratinocytes. Chemical Physics Letters. https://doi.org/10.1016/j.cplett.2008.08.039

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.