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Merck
  • Application of centrifugation to the large-scale purification of electric arc-produced single-walled carbon nanotubes.

Application of centrifugation to the large-scale purification of electric arc-produced single-walled carbon nanotubes.

Journal of the American Chemical Society (2006-07-27)
Aiping Yu, Elena Bekyarova, Mikhail E Itkis, Danylo Fakhrutdinov, Robert Webster, Robert C Haddon
초록

We report a further advance in the bulk purification of nitric acid-treated single-walled carbon nanotubes (SWNTs) by use of high-speed centrifugation. We have already shown that low-speed centrifugation is effective in removing amorphous carbon (AC). In these earlier experiments, the AC preferentially suspends in aqueous dispersions on low-speed centrifugation (2000g), leaving the SWNTs in the sediment. In a surprising reversal, we now show that high-speed centrifugation (20000g) of well-dispersed preparations is effective in sedimenting carbon nanoparticles (CNP), while leaving the SWNTs suspended in aqueous media. Taken together, these two techniques allow the bulk scale (10 g) purification of SWNTs by efficiently separating the two main contaminants, in an industrially viable process. We show that the mechanism of these separations is based on the differential charging (zeta-potential) of the AC, CNPs, and SWNTs that comes about during the chemical processing. Due to their more robust structure, nitric acid oxidation leaves the CNPs with a surface charge density lower than that of the SWNTs, and thus the CNPs do not form stable dispersions in aqueous media during high-speed centrifugation. The efficiency of the process was confirmed by the high purification recovery factor (PRF = 90%), which is a measure of the fractional quantity of the product recovered after the purification. We demonstrate that the purity of SWNTs significantly affects their mechanical and electrical properties.

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Sigma-Aldrich
Carbon nanotube, single-walled, carboxylic acid functionalized, >90% carbon basis, D × L 4-5 nm × 0.5-1.5 μm , bundle dimensions, avg. no. of layers, 1