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Cited by 312

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Comparative Study of Aerogels Obtained from Differently Prepared Nanocellulose Fibers

Chen, Wenshuai, Li, Qing, Wang, Youcheng, Yi, Xin, Zeng, Jie, Yu, Haipeng, Liu, Yixing, Li, Jian·2014·ChemSusChem
DOI 10.1002/cssc.201300950
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Abstract

This article describes the fabrication of nanocellulose fibers (NCFs) with different morphologies and surface properties from biomass resources as well as their self‐aggregation into lightweight aerogels. By carefully modulating the nanofibrillation process, four types of NCFs could be readily fabricated, including long aggregated nanofiber bundles, long individualized nanofibers with surface C 6‐carboxylate groups, short aggregated nanofibers, and short individualized nanofibers with surface sulfate groups. Free‐standing lightweight aerogels were obtained from the corresponding aqueous NCF suspensions through freeze‐drying. The structure of the aerogels could be controlled by manipulating the type of NCFs and the concentration of their suspensions. A possible mechanism for the self‐aggregation of NCFs into two‐ or three‐dimensional aerogel nanostructures was further proposed. Owing to web‐like structure, high porosity, and high surface reactivity, the NCF aerogels exhibited high mechanical flexibility and ductility, and excellent properties for water uptake, removal of dye pollutants, and the use as thermal insulation materials. The aerogels also displayed sound‐adsorption capability at high frequencies.

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Citations

Cites

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Cited by

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Metadata

Authors
Chen, W., Li, Q., Wang, Y., Yi, X., Zeng, J., Yu, H., Liu, Y., & Li, J.
Venue
ChemSusChem
Publisher
Wiley
Published
2014-01
Volume
7
Issue
1
Pages
154-161
ISSN
  • 1864-5631 (ISSN-L)
  • 1864-564X
DOI
10.1002/cssc.201300950
OpenAlex
W1979501279
Cited by
312
References
8
FWCI
8.40
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor, 12 d)

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

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.