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The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.

Advances toward bioapplications of carbon nanotubes

Lin, Yi, Taylor, Shelby, Li, Huaping, Fernando, K. A. Shiral, Qu, Liangwei, Wang, Wei, Gu, Lingrong, Zhou, Bing, Sun, Ya-Ping·2004·Journal of Materials Chemistry

Abstract

Bioapplications of carbon nanotubes have been predicted and explored ever since the discovery of these one-dimensional carbon allotropes. Indeed, carbon nanotubes have many interesting and unique properties potentially useful in a variety of biological and biomedical systems and devices. Significant progress has been made in the effort to overcome some of the fundamental and technical barriers toward bioapplications, especially on issues concerning the aqueous solubility and biocompatibility of carbon nanotubes and on the design and fabrication of prototype biosensors. In this article we take a comprehensive look at the advances in this fast-moving and exciting research field. We review the current status of available methodologies for the aqueous dispersion and solubilization of carbon nanotubes, discuss the results on modifications of carbon nanotubes with various biological and bioactive species, and highlight some of the recent achievements in the fabrication and evaluation of carbon nanotube-based bioanalytical devices.

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Metadata

Authors
Lin, Y., Taylor, S., Li, H., Fernando, K. A. S., Qu, L., Wang, W., Gu, L., Zhou, B., & Sun, Y.-P.
Venue
Journal of Materials Chemistry
Published
2004
Volume
14
Issue
4
Pages
527
ISSN
  • 0959-9428 (ISSN-L)
  • 1364-5501
OpenAlex
W2074709080
Cited by
870
References
62
FWCI
33.95
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advances toward bioapplications of carbon nanotubes. https://app.cochat.ai/papers/10.1039/b314481j
The paper
Lin, Y., Taylor, S., Li, H., Fernando, K. A. S., Qu, L., Wang, W., Gu, L., Zhou, B., & Sun, Y.-P. (2004). Advances toward bioapplications of carbon nanotubes. Journal of Materials Chemistry. https://doi.org/10.1039/b314481j

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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.