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Cited by 436

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Recent Advances in the Application of Natural Fiber Based Composites

Pandey, Jitendra K., Ahn, S. H., Lee, Caroline S., Mohanty, Amar K., Misra, Manjusri·2010·Macromolecular Materials and Engineering

Abstract

Natural fiber reinforced polymer composites are lightweight, economical and available in a variety of forms. They have low densities, comparable material properties, high molding flexibility and are environmentally friendly, making them a conceivable alternative to traditional fillers like mica, calcium carbonate and glass. By modifying either the resin system or the natural fiber, biocomposites can be designed for different applications ranging from products of commodity to aerospace, examples including electroactive papers, fuel cell membranes, controlled drug release mechanisms and biosensors. This review aims to analyze the advancement in the application of cellulose based materials in different sectors with a discussion of fundamental research in these areas. magnified image

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Crossref · 10.1002/mame.201000095

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Metadata

Authors
Pandey, J. K., Ahn, S. H., Lee, C. S., Mohanty, A. K., & Misra, M.
Venue
Macromolecular Materials and Engineering
Publisher
Wiley
Published
2010-10-08
Volume
295
Issue
11
Pages
975-989
ISSN
  • 1438-7492 (ISSN-L)
  • 1439-2054
OpenAlex
W2160199740
Cited by
436
References
6
FWCI
14.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Recent Advances in the Application of Natural Fiber Based Composites. https://app.cochat.ai/papers/10.1002/mame.201000095
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Pandey, J. K., Ahn, S. H., Lee, C. S., Mohanty, A. K., & Misra, M. (2010). Recent Advances in the Application of Natural Fiber Based Composites. Macromolecular Materials and Engineering. https://doi.org/10.1002/mame.201000095

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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.