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Cited by 366

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Overview of Carbon Nanotubes for Biomedical Applications

Open access
Simon, Juliette, Flahaut, Emmanuel, Golzio, Muriel·2019·Materials

Abstract

The unique combination of mechanical, optical and electrical properties offered by carbon nanotubes has fostered research for their use in many kinds of applications, including the biomedical field. However, due to persisting outstanding questions regarding their potential toxicity when considered as free particles, the research is now focusing on their immobilization on substrates for interface tuning or as biosensors, as load in nanocomposite materials where they improve both mechanical and electrical properties or even for direct use as scaffolds for tissue engineering. After a brief introduction to carbon nanotubes in general and their proposed applications in the biomedical field, this review will focus on nanocomposite materials with hydrogel-based matrices and especially their potential future use for diagnostics, tissue engineering or targeted drug delivery. The toxicity issue will also be briefly described in order to justify the safe(r)-by-design approach offered by carbon nanotubes-based hydrogels.

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Crossref · 10.3390/ma12040624

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Metadata

Authors
Simon, J., Flahaut, E., & Golzio, M.
Venue
Materials
Publisher
MDPI AG
Published
2019-02-20
Volume
12
Issue
4
Pages
624
ISSN
1996-1944 (ISSN-L)
OpenAlex
W2916935765
Cited by
366
References
7
FWCI
13.89
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Overview of Carbon Nanotubes for Biomedical Applications. https://app.cochat.ai/papers/10.3390/ma12040624
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Simon, J., Flahaut, E., & Golzio, M. (2019). Overview of Carbon Nanotubes for Biomedical Applications. Materials. https://doi.org/10.3390/ma12040624

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.