The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Functionalizing Multiple-Walled Carbon Nanotubes with Aminopolymers
Abstract
Multiple-walled carbon nanotubes (MWNTs) produced using the chemical vapor deposition method were functionalized via attaching aminopolymer poly(propionylethylenimine- co -ethylenimine) to the nanotubes. Two different reaction conditions based on acylating the nanotube-bound carboxylic acids and on directly heating nanotubes in the polymer melt were used and compared. Both methods were effective in the nanotube functionalization, and the polymer-attached MWNTs were found to be soluble in many common organic solvents and in water. Results from the characterization of the functionalized nanotube samples using electron microscopy, optical spectroscopy, NMR, and thermal analysis techniques are presented and discussed.
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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
Structural and mechanical properties of polymer nanocomposites
Tjong, S. C. (2006) · Materials Science and Engineering: R: Reports · doi:10.1016/j.mser.2006.06.001 · Cited by 1,531
Kong, H., Gao, C., & Yan, D. (2004) · Journal of the American Chemical Society · doi:10.1021/ja0380493 · Cited by 658
Metadata
- Authors
- Lin, Y., Rao, A. M., Sadanadan, B., Kenik, E. A., & Sun, Y.-P.
- Venue
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-01-18
- Volume
- 106
- Issue
- 6
- Pages
- 1294-1298
- ISSN
- 1520-5207 (ISSN-L)
- 1520-6106
- OpenAlex
- W2013255872
- Cited by
- 278
- References
- 1
- FWCI
- 14.74
- 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.
