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Cited by 573

The DOI matches its Crossref record; 107 of the 107 references it cites were found in a registry or an index.

Vegetable-oil-based polymers as future polymeric biomaterials

Open access
Miao, Shida, Wang, Ping, Su, Zhiguo, Zhang, Songping·2014·Acta Biomaterialia

Abstract

Vegetable oils are one of the most important classes of bio-resources for producing polymeric materials. The main components of vegetable oils are triglycerides - esters of glycerol with three fatty acids. Several highly reactive sites including double bonds, allylic positions and the ester groups are present in triglycerides from which a great variety of polymers with different structures and functionalities can be prepared. Vegetable-oil-based polyurethane, polyester, polyether and polyolefin are the four most important classes of polymers, many of which have excellent biocompatibilities and unique properties including shape memory. In view of these characteristics, vegetable-oil-based polymers play an important role in biomaterials and have attracted increasing attention from the polymer community. Here we comprehensively review recent developments in the preparation of vegetable-oil-based polyurethane, polyester, polyether and polyolefin, all of which have potential applications as biomaterials.

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Crossref · 10.1016/j.actbio.2013.08.040

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Metadata

Authors
Miao, S., Wang, P., Su, Z., & Zhang, S.
Venue
Acta Biomaterialia
Publisher
Elsevier BV
Published
2014-04
Volume
10
Issue
4
Pages
1692-1704
ISSN
1742-7061 (ISSN-L)
OpenAlex
W1963703725
Cited by
573
References
107
FWCI
11.26
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Vegetable-oil-based polymers as future polymeric biomaterials. https://app.cochat.ai/papers/10.1016/j.actbio.2013.08.040
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Miao, S., Wang, P., Su, Z., & Zhang, S. (2014). Vegetable-oil-based polymers as future polymeric biomaterials. Acta Biomaterialia. https://doi.org/10.1016/j.actbio.2013.08.040

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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.