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Integrated opposite charge grafting induced ionic-junction fiber

Author

Listed:
  • Yi Xing

    (Donghua University)

  • Mingjie Zhou

    (Fudan University)

  • Yueguang Si

    (Fudan University)

  • Chi-Yuan Yang

    (Linköping University)

  • Liang-Wen Feng

    (Sichuan University)

  • Qilin Wu

    (Donghua University)

  • Fei Wang

    (Fudan University)

  • Xiaomin Wang

    (Fudan University)

  • Wei Huang

    (University of Electronic Science and Technology of China)

  • Yuhua Cheng

    (University of Electronic Science and Technology of China)

  • Ruilin Zhang

    (Chinese Academy of Sciences)

  • Xiaozheng Duan

    (Chinese Academy of Sciences)

  • Jun Liu

    (National Key Laboratory on Electromagnetic Environmental Effects and Eletro-optical Engineering)

  • Ping Song

    (National Key Laboratory on Electromagnetic Environmental Effects and Eletro-optical Engineering)

  • Hengda Sun

    (Donghua University)

  • Hongzhi Wang

    (Donghua University)

  • Jiayi Zhang

    (Fudan University)

  • Su Jiang

    (Fudan University)

  • Meifang Zhu

    (Donghua University)

  • Gang Wang

    (Donghua University)

Abstract

The emergence of ionic-junction devices has attracted growing interests due to the potential of serving as signal transmission and translation media between electronic devices and biological systems using ions. Among them, fiber-shaped iontronics possesses a great advantage in implantable applications owing to the unique one-dimensional geometry. However, fabricating stable ionic-junction on curved surfaces remains a challenge. Here, we developed a polyelectrolyte based ionic-junction fiber via an integrated opposite charge grafting method capable of large-scale continuous fabrication. The ionic-junction fibers can be integrated into functions such as ionic diodes and ionic bipolar junction transistors, where rectification and switching of input signals are implemented. Moreover, synaptic functionality has also been demonstrated by utilizing the fiber memory capacitance. The connection between the ionic-junction fiber and sciatic nerves of the mouse simulating end-to-side anastomosis is further performed to realize effective nerve signal conduction, verifying the capability for next-generation artificial neural pathways in implantable bioelectronics.

Suggested Citation

  • Yi Xing & Mingjie Zhou & Yueguang Si & Chi-Yuan Yang & Liang-Wen Feng & Qilin Wu & Fei Wang & Xiaomin Wang & Wei Huang & Yuhua Cheng & Ruilin Zhang & Xiaozheng Duan & Jun Liu & Ping Song & Hengda Sun , 2023. "Integrated opposite charge grafting induced ionic-junction fiber," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-37884-0
    DOI: 10.1038/s41467-023-37884-0
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    References listed on IDEAS

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    1. Jiqing He & Chenhao Lu & Haibo Jiang & Fei Han & Xiang Shi & Jingxia Wu & Liyuan Wang & Taiqiang Chen & Jiajia Wang & Ye Zhang & Han Yang & Guoqi Zhang & Xuemei Sun & Bingjie Wang & Peining Chen & Yon, 2021. "Scalable production of high-performing woven lithium-ion fibre batteries," Nature, Nature, vol. 597(7874), pages 57-63, September.
    2. Zhongrui Wang & Mingyi Rao & Jin-Woo Han & Jiaming Zhang & Peng Lin & Yunning Li & Can Li & Wenhao Song & Shiva Asapu & Rivu Midya & Ye Zhuo & Hao Jiang & Jung Ho Yoon & Navnidhi Kumar Upadhyay & Saum, 2018. "Capacitive neural network with neuro-transistors," Nature Communications, Nature, vol. 9(1), pages 1-10, December.
    3. Hao Zheng & Zhitao Zhang & Su Jiang & Biao Yan & Xiang Shi & Yuanting Xie & Xu Huang & Zeyang Yu & Huizhu Liu & Shijun Weng & Arto Nurmikko & Yuqiu Zhang & Huisheng Peng & Wendong Xu & Jiayi Zhang, 2019. "A shape-memory and spiral light-emitting device for precise multisite stimulation of nerve bundles," Nature Communications, Nature, vol. 10(1), pages 1-14, December.
    4. Klas Tybrandt & Robert Forchheimer & Magnus Berggren, 2012. "Logic gates based on ion transistors," Nature Communications, Nature, vol. 3(1), pages 1-6, January.
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