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Cited by 426

The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.

Biological composites—complex structures for functional diversity

Open access
Eder, Michaela, Amini, Shahrouz, Fratzl, Peter·2018·Science

Abstract

The bulk of Earth’s biological materials consist of few base substances—essentially proteins, polysaccharides, and minerals—that assemble into large varieties of structures. Multifunctionality arises naturally from this structural complexity: An example is the combination of rigidity and flexibility in protein-based teeth of the squid sucker ring. Other examples are time-delayed actuation in plant seed pods triggered by environmental signals, such as fire and water, and surface nanostructures that combine light manipulation with mechanical protection or water repellency. Bioinspired engineering transfers some of these structural principles into technically more relevant base materials to obtain new, often unexpected combinations of material properties. Less appreciated is the huge potential of using bioinspired structural complexity to avoid unnecessary chemical diversity, enabling easier recycling and, thus, a more sustainable materials economy.

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Crossref · 10.1126/science.aat8297

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Metadata

Authors
Eder, M., Amini, S., & Fratzl, P.
Venue
Science
Published
2018-11-02
Volume
362
Issue
6414
Pages
543-547
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2899181893
Cited by
426
References
41
FWCI
10.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Biological composites—complex structures for functional diversity. https://app.cochat.ai/papers/10.1126/science.aat8297
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Eder, M., Amini, S., & Fratzl, P. (2018). Biological composites—complex structures for functional diversity. Science. https://doi.org/10.1126/science.aat8297

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.