The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Solubilization of Single-Wall Carbon Nanotubes by Supramolecular Encapsulation of Helical Amylose
Abstract
We have developed a simple, efficient process for solubilization of single-wall carbon nanotubes (SWNTs) with amylose in aqueous DMSO. This process requires two important conditions, presonication of SWNTs and subsequent amylose treatment in an optimum mixture of DMSO/H2O. The former step separates SWNT bundles, and the latter step provides a maximum cooperative interaction of SWNTs with amylose, leading to the immediate and complete solubilization. The best solvent condition for this is around 10-20% DMSO, in which amylose assumes a random conformation or an interrupted helix. This indicates that the amylose helix is not the prerequisite for encapsulation of SWNTs. The SEM and AFM images of the encapsulated SWNTs manifest loosely twisted ribbons wrapping around SWNTs, which are locally intertwined as a multiple twist, but no clumps of the host amylose are seen on SWNT capsules.
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Citations
Cites
Noncovalent sidewall functionalization of single-walled carbon nanotubes for protein immobilization
Chen, R. J., Zhang, Y., Wang, D., & Dai, H. (2001) · Journal of the American Chemical Society · doi:10.1021/ja010172b · Cited by 2,534
Cited by
Kong, H., Gao, C., & Yan, D. (2004) · Journal of the American Chemical Society · doi:10.1021/ja0380493 · Cited by 658
Metadata
- Authors
- Kim, O.-K., Je, J., Baldwin, J. W., Kooi, S., Pehrsson, P. E., & Buckley, L. J.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2003-03-20
- Volume
- 125
- Issue
- 15
- Pages
- 4426-4427
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2057114332
- Cited by
- 271
- References
- 1
- FWCI
- 12.29
- 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.
