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Review Article

Intelligent structured nanocomposite adhesive for bioelectronics and soft robots

Yeon Soo Lee1Min-Seok Kim2Da Wan Kim3( )Changhyun Pang1,4( )
School of Chemical Engineering, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea
Mechanical Metrology Group, Korea Research Institute of Standards and Science, Daejeon 34113, Republic of Korea
Department of Electronic Engineering, Korea National University of Transportation, Chungbuk 27469, Republic of Korea
Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University (SKKU), Suwon 16419, Republic of Korea
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Abstract

The remarkable functionality of biological systems in detecting and adapting to various environmental conditions has inspired the design of the latest electronics and robots with advanced features. This review focuses on intelligent bio-inspired strategies for developing soft bioelectronics and robotics that can accommodate nanocomposite adhesives and integrate them into biological surfaces. The underlying principles of the material and structural design of nanocomposite adhesives were investigated for practical applications with excellent functionalities, such as soft skin-attachable health care sensors, highly stretchable adhesive electrodes, switchable adhesion, and untethered soft robotics. In addition, we have discussed recent progress in the development of effective fabrication methods for micro/nanostructures for integration into devices, presenting the current challenges and prospects.

Graphical Abstract

We review recent developments in biologically inspired adhesive architectures with nanocomposite for applications from bioelectronics to soft robots. We present characteristics of nanocomposite adhesive interfaces, which are segmented with (1) dry/wet adhesive, (2) isometric contact, (3) fluid induction properties, and (4) biocompatibility.

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Nano Research
Pages 534-549

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Cite this article:
Lee YS, Kim M-S, Kim DW, et al. Intelligent structured nanocomposite adhesive for bioelectronics and soft robots. Nano Research, 2024, 17(2): 534-549. https://doi.org/10.1007/s12274-023-6016-0
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Received: 12 May 2023
Revised: 17 July 2023
Accepted: 18 July 2023
Published: 29 August 2023
© Tsinghua University Press 2023