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A Review on Biomedical Applications of Single-Walled Carbon Nanotubes

Liang, F., Chen, B.·2010·Current Medicinal Chemistry

Abstract

Single-walled carbon nanotubes (SWNTs), a member of the carbon family, are the one-dimensional analogues of zero-dimensional fullerene molecules with unique structural and electronic properties. Since the discovery of SWNTs, they have been extensively studied for biomedical applications. In biological media SWNTs have unique near-infrared intrinsic fluorescence, inherent Raman spectroscopy and photoacoustic signal associated with the graphene in SWNTs which makes them ideal for noninvasive and high sensitivity detection. SWNTs have been broadly investigated as imaging agents for the evaluation of tumor targeting and localization of SWNTs in vitro and in vivo. Rational functionalization can also endow SWNTs with desired properties for biomedical applications. Functionalized SWNTs with significantly reduced toxicity have been employed as carriers to deliver various anticancer drugs, proteins and nucleic acids to the diseased tissues specifically and maximize the bioavailability of the drugs by improving solubility and increasing circulation time. This manuscript will highlight the recent employment of SWNTs in the field of nanomedicine and bioimaging, and also outline the challenges and future opportunities for biomedical applications of SWNTs.

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Metadata

Authors
Liang, F., & Chen, B.
Venue
Current Medicinal Chemistry
Published
2010-01-01
Volume
17
Issue
1
Pages
10-24
ISSN
0929-8673 (ISSN-L)
OpenAlex
W2079609666
Cited by
193
References
0
FWCI
9.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Review on Biomedical Applications of Single-Walled Carbon Nanotubes. https://app.cochat.ai/papers/10.2174/092986710789957742
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Liang, F., & Chen, B. (2010). A Review on Biomedical Applications of Single-Walled Carbon Nanotubes. Current Medicinal Chemistry. https://doi.org/10.2174/092986710789957742

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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.