The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Charge Transfer from Adsorbed Proteins
Abstract
We have used transistor devices with carbon nanotubes as the conducting channel to explore the interaction between the nanotube surface and streptavidin, both in dry and in buffer environments. We find charge transfer between the protein and the nanotubes in both cases. Comparison with simpler molecules allows the estimation of the transferred charge. We argue that this effect can be understood as being due to the interaction between the −NH 2 groups of the protein and the aromatic surface.
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Cites
Enzyme-coated carbon nanotubes as single-molecule biosensors
Besteman, K., Lee, J.-O., Wiertz, F. G. M., Heering, H. A., & Dekker, C. (2003) · Nano Letters · doi:10.1021/nl034139u · Cited by 1,294
Cited by
Hammock, M. L., Chortos, A., Tee, B. C. ‐., Tok, J. B. ‐., & Bao, Z. (2013) · Advanced Materials · doi:10.1002/adma.201302240 · Cited by 2,396
Putzbach, W., & Ronkainen, N. (2013) · Sensors · doi:10.3390/s130404811 · Cited by 502
Carbon nanotube transistors for biosensing applications
Gruner, G. (2005) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-005-3400-4 · Cited by 408
Yan, L., Zhao, F., Li, S., Hu, Z., & Zhao, Y. (2011) · Nanoscale · doi:10.1039/c0nr00647e · Cited by 300
Efficient Generation of Photocurrents by Using CdS/Carbon Nanotube Assemblies on Electrodes
Sheeney‐Haj‐Ichia, L., Basnar, B., & Willner, I. (2005) · Angewandte Chemie International Edition · doi:10.1002/anie.200461666 · Cited by 300
Metadata
- Authors
- Bradley, K., Briman, M., Star, A., & Grüner, G.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2004-01-08
- Volume
- 4
- Issue
- 2
- Pages
- 253-256
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W1989414751
- Cited by
- 282
- References
- 1
- FWCI
- 17.98
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
