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Highly conductive tissue-like hydrogel interface through template-directed assembly

Author

Listed:
  • Jooyeun Chong

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Changhoon Sung

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Kum Seok Nam

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Taewon Kang

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Hyunjun Kim

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Haeseung Lee

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Hyunchang Park

    (Korea Advanced Institute of Science and Technology (KAIST))

  • Seongjun Park

    (Korea Advanced Institute of Science and Technology (KAIST)
    KAIST Institute for NanoCentury)

  • Jiheong Kang

    (Korea Advanced Institute of Science and Technology (KAIST)
    KAIST Institute for NanoCentury)

Abstract

Over the past decade, conductive hydrogels have received great attention as tissue-interfacing electrodes due to their soft and tissue-like mechanical properties. However, a trade-off between robust tissue-like mechanical properties and good electrical properties has prevented the fabrication of a tough, highly conductive hydrogel and limited its use in bioelectronics. Here, we report a synthetic method for the realization of highly conductive and mechanically tough hydrogels with tissue-like modulus. We employed a template-directed assembly method, enabling the arrangement of a disorder-free, highly-conductive nanofibrous conductive network inside a highly stretchable, hydrated network. The resultant hydrogel exhibits ideal electrical and mechanical properties as a tissue-interfacing material. Furthermore, it can provide tough adhesion (800 J/m2) with diverse dynamic wet tissue after chemical activation. This hydrogel enables suture-free and adhesive-free, high-performance hydrogel bioelectronics. We successfully demonstrated ultra-low voltage neuromodulation and high-quality epicardial electrocardiogram (ECG) signal recording based on in vivo animal models. This template-directed assembly method provides a platform for hydrogel interfaces for various bioelectronic applications.

Suggested Citation

  • Jooyeun Chong & Changhoon Sung & Kum Seok Nam & Taewon Kang & Hyunjun Kim & Haeseung Lee & Hyunchang Park & Seongjun Park & Jiheong Kang, 2023. "Highly conductive tissue-like hydrogel interface through template-directed assembly," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37948-1
    DOI: 10.1038/s41467-023-37948-1
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    References listed on IDEAS

    as
    1. Vivian R. Feig & Helen Tran & Minah Lee & Zhenan Bao, 2018. "Author Correction: Mechanically tunable conductive interpenetrating network hydrogels that mimic the elastic moduli of biological tissue," Nature Communications, Nature, vol. 9(1), pages 1-1, December.
    2. Alfons van Blaaderen & Rene Ruel & Pierre Wiltzius, 1997. "Template-directed colloidal crystallization," Nature, Nature, vol. 385(6614), pages 321-324, January.
    3. Vivian R. Feig & Helen Tran & Minah Lee & Zhenan Bao, 2018. "Mechanically tunable conductive interpenetrating network hydrogels that mimic the elastic moduli of biological tissue," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
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    Cited by:

    1. Ming Yang & Lufang Wang & Wenliang Liu & Wenlong Li & Yewei Huang & Qiaofeng Jin & Li Zhang & Yuanwen Jiang & Zhiqiang Luo, 2024. "Highly-stable, injectable, conductive hydrogel for chronic neuromodulation," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    2. Xiaopei Li & Yongjie Zhang & Zhenqiang Shi & Dongdong Wang & Hang Yang & Yahui Zhang & Haijuan Qin & Wenqi Lu & Junjun Chen & Yan Li & Guangyan Qing, 2024. "Water-stable boroxine structure with dynamic covalent bonds," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    3. Ruixin Zhu & Dandan Zhu & Zhen Zheng & Xinling Wang, 2024. "Tough double network hydrogels with rapid self-reinforcement and low hysteresis based on highly entangled networks," Nature Communications, Nature, vol. 15(1), pages 1-11, December.

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