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Nanoscale Assembly of Cellulose Nanocrystals during Drying and Redispersion
Stockholm University, Sweden ; KTH Royal Institute of Technology, Sweden.
Stockholm University, Sweden.
Stockholm University, Sweden.
Stockholm University, Sweden.
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2018 (English)In: ACS Macro Letters, E-ISSN 2161-1653, Vol. 7, no 2, p. 172-177Article in journal (Refereed) Published
Abstract [en]

We have followed the structural evolution during evaporation-induced self-assembly of sulfonated cellulose nanocrystal (CNC) in the presence of H+ and Li+ counterions by small-angle X-ray scattering. Drying of CNC-H dispersions results in ordered films that could not be readily redispersed, while the CNC-Li films were disordered and prone to reswelling and redispersion. The scaling of the separation distance (d) between CNC particles and the particle concentration (c) shows that the CNC-H dispersions display a unidimensional contraction of the nematic structure (d alpha c(-1)) during drying, while the CNC-Li dispersions consolidate isotropically (d alpha c(-1/3)), which is characteristic for hydrogels with no preferential orientation. Temporal evolution of the structure factor and complementary dynamic light-scattering measurements show that CNC-Li is more aggregated than CNC-H during evaporation-induced assembly. Insights on the structural evolution during CNC assembly and redispersion can promote development of novel and optimized processing routes of nanocellulose-based materials.

Place, publisher, year, edition, pages
2018. Vol. 7, no 2, p. 172-177
Keywords [en]
Cellulose;Cellulose derivatives;Dispersions;Drying;Evaporation;Hydrogels;Light scattering;Lithium;Nanocrystals;Self assembly;X ray scattering;Cellulose nano-crystals;Cellulose nanocrystal (CNC);Dynamic light scattering measurement;Evaporation induced self assemblies;Particle concentrations;Preferential orientation;Separation distances;Structural evolution;Lithium compounds;Cellulose Derivatives;Cellulose Film;Dispersions;Drying;Optical Scattering;Swelling
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Natural Sciences Chemical Sciences
Identifiers
URN: urn:nbn:se:ri:diva-33548OAI: oai:DiVA.org:ri-33548DiVA, id: diva2:1204229
Note

This work was financially supported by the Wallenberg Wood Science Center, the Swedish Research Council (VR), and the Swedish Foundation for Strategic Research (SSF).

Available from: 2018-05-07 Created: 2018-05-07 Last updated: 2018-08-14Bibliographically approved

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CiteExportLink to record
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