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Cited by 313

The DOI matches its Crossref record; 176 of the 176 references it cites were found in a registry or an index.

Dispersion Properties of Nanocellulose: A Review

Chu, Youlu, Sun, Yan, Wu, Weibing, Xiao, Huining·2020·Carbohydrate Polymers

Abstract

The development of science and technology brings forward higher and higher requirements for the properties of materials. Nanocellulose, with many fascinating properties including large specific surface area, template structure, good modifiability, biodegradability, and etc., has wide application prospects. The surface properties and interfacial compatibility of nanocellulose are the keys to its application performance. This review mainly summarizes the colloid and surface chemistry of nanocellulose and their effects on the dispersity in various solvents and polymer matrices, and especially focuses on the impact of surface hydrophilicity/hydrophobicity, charge repulsion and steric hindrance on the dispersion properties. Various surface modification methods to improve the dispersion performance of nanocellulose, such as oxidation, etherification, esterification, amidation, graft polymerization, and etc., are summarized. In addition, the application of nanocellulose as the dispersant for Pickering emulsion, carbon nanomaterials, metal nanoparticles and etc. is also introduced. The development trend and potential application of nanocellulose are finally prospected.

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Metadata

Authors
Chu, Y., Sun, Y., Wu, W., & Xiao, H.
Venue
Carbohydrate Polymers
Publisher
Elsevier BV
Published
2020-12
Volume
250
Pages
116892
ISSN
0144-8617 (ISSN-L)
OpenAlex
W3048817958
Cited by
313
References
176
FWCI
7.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Dispersion Properties of Nanocellulose: A Review. https://app.cochat.ai/papers/10.1016/j.carbpol.2020.116892
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Chu, Y., Sun, Y., Wu, W., & Xiao, H. (2020). Dispersion Properties of Nanocellulose: A Review. Carbohydrate Polymers. https://doi.org/10.1016/j.carbpol.2020.116892

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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