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Cited by 400

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Fast Preparation Procedure for Large, Flat Cellulose and Cellulose/Inorganic Nanopaper Structures

Sehaqui, Houssine, Liu, Andong, Zhou, Qi, Berglund, Lars A.·2010·Biomacromolecules

Abstract

Nanostructured materials are difficult to prepare rapidly and as large structures. The present study is thus significant because a rapid preparation procedure for large, flat, smooth, and optically transparent cellulose nanopaper structures is developed using a semiautomatic sheet former. Cellulose/inorganic hybrid nanopaper is also produced. The preparation procedure is compared with other approaches, and the nanopaper structures are tested in uniaxial tensile tests. Optical transparency and high tensile strength are demonstrated in 200 mm diameter nanopaper sheets, indicating well-dispersed nanofibrils. The preparation time is 1 h for a typical nanopaper thickness of 60 μm. In addition, the application of the nanopaper-making strategy to cellulose/inorganic hybrids demonstrates the potential for "green" processing of new types of nanostructured functional materials.

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Metadata

Authors
Sehaqui, H., Liu, A., Zhou, Q., & Berglund, L. A.
Venue
Biomacromolecules
Published
2010-08-10
Volume
11
Issue
9
Pages
2195-2198
ISSN
  • 1525-7797 (ISSN-L)
  • 1526-4602
OpenAlex
W2040984591
Cited by
400
References
9
FWCI
7.57
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Fast Preparation Procedure for Large, Flat Cellulose and Cellulose/Inorganic Nanopaper Structures. https://app.cochat.ai/papers/10.1021/bm100490s
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Sehaqui, H., Liu, A., Zhou, Q., & Berglund, L. A. (2010). Fast Preparation Procedure for Large, Flat Cellulose and Cellulose/Inorganic Nanopaper Structures. Biomacromolecules. https://doi.org/10.1021/bm100490s

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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.