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Cited by 266

The DOI matches its Crossref record; 155 of the 155 references it cites were found in a registry or an index.

Nanocellulose-based lightweight porous materials: A review

Sun, Yan, Chu, Youlu, Wu, Weibing, Xiao, Huining·2021·Carbohydrate Polymers

Abstract

Nanocellulose has been widely concerned and applied in recent years. Because of its high aspect ratio, large specific surface area, good modifiability, high mechanical strength, renewability and biodegradability, nanocellulose is particularly suitable as a base for constructing lightweight porous materials. This review summarizes the preparation methods and applications of nanocellulose-based lightweight porous materials including aerogels, cryogels, xerogels, foams and sponges. The preparation of nanocellulose-based lightweight porous materials usually involves gelation and drying processes. The characteristics and influencing factors of three main drying methods including freeze, supercritical and evaporation drying are reviewed. In addition, the mechanism of physical and chemical crosslinking during gelation and the effect on the structure and properties of the porous materials in different drying methods are especially focused on. This contribution also introduces the application of nanocellulose-based lightweight porous materials in the fields of adsorption, biomedicine, energy storage, thermal insulation and sound absorption, flame retardancy and catalysis.

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Metadata

Authors
Sun, Y., Chu, Y., Wu, W., & Xiao, H.
Venue
Carbohydrate Polymers
Publisher
Elsevier BV
Published
2021-03
Volume
255
Pages
117489
ISSN
0144-8617 (ISSN-L)
OpenAlex
W3110952038
Cited by
266
References
155
FWCI
6.80
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nanocellulose-based lightweight porous materials: A review. https://app.cochat.ai/papers/10.1016/j.carbpol.2020.117489
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Sun, Y., Chu, Y., Wu, W., & Xiao, H. (2021). Nanocellulose-based lightweight porous materials: A review. Carbohydrate Polymers. https://doi.org/10.1016/j.carbpol.2020.117489

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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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