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Bioinspired nanomaterials for wearable sensing and human-machine interfacing

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Abstract

The inculcation of bioinspiration in sensing and human-machine interface (HMI) technologies can lead to distinctive characteristics such as conformability, low power consumption, high sensitivity, and unique properties like self-healing, self-cleaning, and adaptability. Both sensing and HMI are fields rife with opportunities for the application of bioinspired nanomaterials, particularly when it comes to wearable sensory systems where biocompatibility is an additional requirement. This review discusses recent development in bioinspired nanomaterials for wearable sensing and HMIs, with a specific focus on state-of-the-art bioinspired capacitive sensors, piezoresistive sensors, piezoelectric sensors, triboelectric sensors, magnetoelastic sensors, and electrochemical sensors. We also present a comprehensive overview of the challenges that have hindered the scientific advancement in academia and commercialization in the industry.

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Acknowledgements

This is an invited review article for the Young Innovator Award in Nano Research. The authors acknowledge the Henry Samueli School of Engineering & Applied Science and the Department of Bioengineering at the University of California, Los Angeles for the startup support. J. C. also acknowledges the Hellman Fellows Research Grant, the UCLA Pandemic Resources Program Research Award, the Research Recovery Grant by the UCLA Academic Senate, and the Brain & Behavior Research Foundation Young Investigator Grant (Grant Number: 30944), and the Catalyzing Pediatric Innovation Grant (Grant Number: 47744) from the West Coast Consortium for Technology & Innovation in Pediatrics, Children’s Hospital Los Angeles.

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  1. Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA

    Vishesh Kashyap, Junyi Yin, Xiao Xiao & Jun Chen

  2. Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, CA, 90095, USA

    Vishesh Kashyap

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Correspondence to Jun Chen.

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Kashyap, V., Yin, J., Xiao, X. et al. Bioinspired nanomaterials for wearable sensing and human-machine interfacing. Nano Res. 17, 445–461 (2024). https://doi.org/10.1007/s12274-023-5725-8

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  • DOI: https://doi.org/10.1007/s12274-023-5725-8

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