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Cited by 509

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

“Smart” Materials Based on Cellulose: A Review of the Preparations, Properties, and Applications

Open access
Qiu, Xiaoyun, Hu, Shuwen·2013·Materials

Abstract

Cellulose is the most abundant biomass material in nature, and possesses some promising properties, such as mechanical robustness, hydrophilicity, biocompatibility, and biodegradability. Thus, cellulose has been widely applied in many fields. “Smart” materials based on cellulose have great advantages—especially their intelligent behaviors in reaction to environmental stimuli—and they can be applied to many circumstances, especially as biomaterials. This review aims to present the developments of “smart” materials based on cellulose in the last decade, including the preparations, properties, and applications of these materials. The preparations of “smart” materials based on cellulose by chemical modifications and physical incorporating/blending were reviewed. The responsiveness to pH, temperature, light, electricity, magnetic fields, and mechanical forces, etc. of these “smart” materials in their different forms such as copolymers, nanoparticles, gels, and membranes were also reviewed, and the applications as drug delivery systems, hydrogels, electronic active papers, sensors, shape memory materials and smart membranes, etc. were also described in this review.

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Metadata

Authors
Qiu, X., & Hu, S.
Venue
Materials
Publisher
MDPI AG
Published
2013-02-28
Volume
6
Issue
3
Pages
738-781
ISSN
1996-1944 (ISSN-L)
OpenAlex
W1982897964
Cited by
509
References
14
FWCI
11.26
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: “Smart” Materials Based on Cellulose: A Review of the Preparations, Properties, and Applications. https://app.cochat.ai/papers/10.3390/ma6030738
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Qiu, X., & Hu, S. (2013). “Smart” Materials Based on Cellulose: A Review of the Preparations, Properties, and Applications. Materials. https://doi.org/10.3390/ma6030738

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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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