Title |
Understanding the Dispersive Action of Nanocellulose for Carbon Nanomaterials
|
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Published in |
Nano Letters, February 2017
|
DOI | 10.1021/acs.nanolett.6b04405 |
Pubmed ID | |
Authors |
Alireza Hajian, Stefan B. Lindström, Torbjörn Pettersson, Mahiar M. Hamedi, Lars Wågberg |
Abstract |
This work aims at understanding the excellent ability of nanocelluloses to disperse carbon nanomaterials (CNs) in aqueous media to form long-term stable colloidal dispersions without the need for chemical functionalization of the CNs or the use of surfactant. These dispersions are useful for composites with high CN content when seeking water-based, efficient and green pathways for their preparation. To establish a comprehensive understanding of such dispersion mechanism, colloidal characterization of the dispersions has been combined with surface adhesion measurements using colloidal probe atomic force microscopy (AFM) in aqueous media. AFM results based on model surfaces of graphene and nanocellulose further suggest that there is an association between the nanocellulose and the CN. This association is caused by fluctuations of the counterions on the surface of the nanocellulose inducing dipoles in the sp2 carbon lattice surface of the CNs. Furthermore, the charges on the nanocellulose will induce an electrostatic stabilization of the nanocellulose-CN complexes that prevents aggregation. Based on this understanding, nanocelluloses with high surface charge density was used to disperse and stabilize carbon nanotubes (CNTs) and reduced graphene oxide in water and further increase in the dispersion limit of CNTs could be obtained. The dispersion limit reached the value of 75 wt % CNTs and resulted in high electrical conductivity (515 S/cm) and high modulus (14 GPa) of the CNT composite nanopapers. |
Mendeley readers
Geographical breakdown
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Unknown | 222 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 39 | 17% |
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Student > Bachelor | 13 | 6% |
Other | 42 | 19% |
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Engineering | 38 | 17% |
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Other | 16 | 7% |
Unknown | 61 | 27% |