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Cited by 197

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Cellulose‐Based Sustainable Polymers: State of the Art and Future Trends

Rose, Marcus, Palkovits, Regina·2011·Macromolecular Rapid Communications

Abstract

Nowadays, nearly all polymeric materials are produced from crude oil‐derived monomers. With the steadily increasing demand for oil‐based products and their decreasing availability in the near future, one of the main challenges of mankind is the replacement of crude oil as raw material by renewable resources such as biomass. So far, only a few polymers are available derived directly from cellulose as a main component of biomass by regeneration. On the other hand, a significant potential lies in the production of polymers from cellulose‐derived monomers. A huge variety of different monomers is already available by convenient catalytic processes. This feature article focuses on the current status of mono‐ and resulting polymers derived either directly from cellulose processing and regeneration or by catalytic conversion to a number of monomers for the production of novel polymers and co‐polymers. magnified image

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Crossref · 10.1002/marc.201100230

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Metadata

Authors
Rose, M., & Palkovits, R.
Venue
Macromolecular Rapid Communications
Publisher
Wiley
Published
2011-06-10
Volume
32
Issue
17
Pages
1299-1311
ISSN
  • 1022-1336 (ISSN-L)
  • 1521-3927
OpenAlex
W2127394129
Cited by
197
References
10
FWCI
5.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cellulose‐Based Sustainable Polymers: State of the Art and Future Trends. https://app.cochat.ai/papers/10.1002/marc.201100230
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Rose, M., & Palkovits, R. (2011). Cellulose‐Based Sustainable Polymers: State of the Art and Future Trends. Macromolecular Rapid Communications. https://doi.org/10.1002/marc.201100230

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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.