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Biomaterial systems for mechanosensing and actuation

Author

Listed:
  • Peter Fratzl

    (Max Planck Institute of Colloids and Interfaces, Research Campus Golm)

  • Friedrich G. Barth

    (University of Vienna)

Abstract

Living organisms use composite materials for various functions, such as mechanical support, protection, motility and the sensing of signals. Although the individual components of these materials may have poor mechanical qualities, they form composites of polymers and minerals with a remarkable variety of functional properties. Researchers are now using these natural systems as models for artificial mechanosensors and actuators, through studying both natural structures and their interactions with the environment. In addition to inspiring the design of new materials, analysis of natural structures on this basis can provide insight into evolutionary constraints on structure–function relationships in living organisms and the variety of structural solutions that emerged from these constraints.

Suggested Citation

  • Peter Fratzl & Friedrich G. Barth, 2009. "Biomaterial systems for mechanosensing and actuation," Nature, Nature, vol. 462(7272), pages 442-448, November.
    • Handle: RePEc:nat:nature:v:462:y:2009:i:7272:d:10.1038_nature08603
    DOI: 10.1038/nature08603
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    Cited by:

    1. Khashayar Razghandi & Emad Yaghmaei, 2020. "Rethinking Filter: An Interdisciplinary Inquiry into Typology and Concept of Filter, Towards an Active Filter Model," Sustainability, MDPI, vol. 12(18), pages 1-34, September.
    2. Yuxiang Li & Zhihe Guo & Xuyang Zhao & Sheng Liu & Zhenmin Chen & Wen-Fei Dong & Shixiang Wang & Yun-Lu Sun & Xiang Wu, 2024. "An all-optical multidirectional mechano-sensor inspired by biologically mechano-sensitive hair sensilla," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    3. Wenbo Chen & Caoxing Huang & Philip Biehl & Kai Zhang, 2024. "Water training initiates spatially regulated microstructures with competitive mechanics in hydroadaptive polymers," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    4. Chong Li & Xinxin Liao & Zhi-Ke Peng & Guang Meng & Qingbo He, 2023. "Highly sensitive and broadband meta-mechanoreceptor via mechanical frequency-division multiplexing," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    5. Yeongju Jung & Kangkyu Kwon & Jinwoo Lee & Seung Hwan Ko, 2024. "Untethered soft actuators for soft standalone robotics," Nature Communications, Nature, vol. 15(1), pages 1-19, December.

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