期刊
NATURE NANOTECHNOLOGY
卷 5, 期 6, 页码 443-450出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/NNANO.2010.68
关键词
-
资金
- National Science Foundation [CHE-09098097]
- Welch Foundation [C-0807]
Existing methods for growing single-walled carbon nanotubes produce samples with a range of structures and electronic properties, but many potential applications require pure nanotube samples. Density-gradient ultracentrifugation has recently emerged as a technique for sorting as-grown mixtures of single-walled nanotubes into their distinct (n, m) structural forms, but to date this approach has been limited to samples containing only a small number of nanotube structures, and has often required repeated density-gradient ultracentrifugation processing. Here, we report that the use of tailored nonlinear density gradients can significantly improve density-gradient ultracentrifugation separations. We show that highly polydisperse samples of single-walled nanotubes grown by the HiPco method are readily sorted in a single step to give fractions enriched in any of ten different (n, m) species. Furthermore, minor variants of the method allow separation of the mirror-image isomers (enantiomers) of seven (n, m) species. Optimization of this approach was aided by the development of instrumentation that spectroscopically maps nanotube contents inside undisturbed centrifuge tubes.
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