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The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Plant oils: The perfect renewable resource for polymer science?!

Open access
Montero de Espinosa, Lucas, Meier, Michael A.R.·2011·European Polymer Journal

Abstract

Already for a long time, plant oils and their derivatives have been used by polymer chemists due to their renewable nature, world wide availability, relatively low price, and their rich application possibilities. Although many different synthetic approaches have been used, more recent examples are pointing in the direction of catalytic transformations and other efficient reactions to achieve a more sustainable production of polymers from these renewable resources. In this context, olefin metathesis, thiol–ene additions, and other processes can contribute not only to a more efficient synthesis of plant oil based polymers, but also to broaden the application possibilities of plant oils. This feature article provides an overview of the present situation with special attention to the use of olefin metathesis and thiol–ene chemistry as synthetic methods and as polymerization techniques.

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Crossref · 10.1016/j.eurpolymj.2010.11.020

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Metadata

Authors
Montero de Espinosa, L., & Meier, M. A. R.
Venue
European Polymer Journal
Publisher
Elsevier BV
Published
2011-05
Volume
47
Issue
5
Pages
837-852
ISSN
0014-3057 (ISSN-L)
OpenAlex
W2019086227
Cited by
643
References
2
FWCI
11.23
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Plant oils: The perfect renewable resource for polymer science?! https://app.cochat.ai/papers/10.1016/j.eurpolymj.2010.11.020
The paper
Montero de Espinosa, L., & Meier, M. A. R. (2011). Plant oils: The perfect renewable resource for polymer science?! European Polymer Journal. https://doi.org/10.1016/j.eurpolymj.2010.11.020

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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.