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Cited by 161

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Biobased building blocks for the rational design of renewable block polymers

Holmberg, Angela L., Reno, Kaleigh H., Wool, Richard P., Epps, III, Thomas H.·2014·Soft Matter

Abstract

Block polymers (BPs) derived from biomass (biobased) are necessary components of a sustainable future that relies minimally on petroleum-based plastics for applications ranging from thermoplastic elastomers and pressure-sensitive adhesives to blend compatibilizers. To facilitate their adoption, renewable BPs must be affordable, durable, processable, versatile, and reasonably benign. Their desirability further depends on the relative sustainability of the renewable resources and the methods employed in the monomer and polymer syntheses. Various strategies allow these BPs' characteristics to be tuned and enhanced for commercial applications, and many of these techniques also can be applied to manipulate the wide-ranging mechanical and thermal properties of biobased and self-assembling block polymers. From feedstock to application, this review article highlights promising renewable BPs, plus their material and assembly properties, in support of de novo design strategies that could revolutionize material sustainability.

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Crossref · 10.1039/c4sm01220h

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Metadata

Authors
Holmberg, A. L., Reno, K. H., Wool, R. P., & Epps, III
Venue
Soft Matter
Published
2014
Volume
10
Issue
38
Pages
7405-7424
ISSN
  • 1744-683X (ISSN-L)
  • 1744-6848
OpenAlex
W2163762463
Cited by
161
References
28
FWCI
6.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Biobased building blocks for the rational design of renewable block polymers. https://app.cochat.ai/papers/10.1039/c4sm01220h
The paper
Holmberg, A. L., Reno, K. H., Wool, R. P., & Epps, III. (2014). Biobased building blocks for the rational design of renewable block polymers. Soft Matter. https://doi.org/10.1039/c4sm01220h

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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.