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Cited by 215

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Carbon Nanotube‐Based Biosensor

Wohlstadter, J.N., Wilbur, J.L., Sigal, G.B., Biebuyck, H.A., Billadeau, M.A., Dong, L., Fischer, A.B., Gudibande, S.R., Jameison, S.H., Kenten, J.H., Leginus, J., Leland, J.K., Massey, R.J., Wohlstadter, S.J.·2003·Advanced Materials

Abstract

Carbon nanotubes, compounded into plastic to create bulk electrodes, form the basis of a novel sensor for biological assays. The nanotubes function as both a solid phase and working electrode for generation of electrochemiluminescence, the detection method used in this system. The Figure shows a scanning electron microscopy image of a composite used for an immunoassay. The bright spots in the image are 10 nm diameter gold colloids covalently attached to antibodies. The inset shows a region of a composite with no gold colloids.

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Crossref · 10.1002/adma.200304259

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Metadata

Authors
Wohlstadter, J. N., Wilbur, J. L., Sigal, G. B., Biebuyck, H. A., Billadeau, M. A., Dong, L., Fischer, A. B., Gudibande, S. R., Jameison, S. H., Kenten, J. H., Leginus, J., Leland, J. K., Massey, R. J., & Wohlstadter, S. J.
Venue
Advanced Materials
Publisher
Wiley
Published
2003-07-17
Volume
15
Issue
14
Pages
1184-1187
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2054280988
Cited by
215
References
1
FWCI
16.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Carbon Nanotube‐Based Biosensor. https://app.cochat.ai/papers/10.1002/adma.200304259
The paper
Wohlstadter, J. N., Wilbur, J. L., Sigal, G. B., Biebuyck, H. A., Billadeau, M. A., Dong, L., Fischer, A. B., Gudibande, S. R., Jameison, S. H., Kenten, J. H., Leginus, J., Leland, J. K., Massey, R. J., & Wohlstadter, S. J. (2003). Carbon Nanotube‐Based Biosensor. Advanced Materials. https://doi.org/10.1002/adma.200304259

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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.