Nano-Micro Letters, Volume. 17, Issue 1, 050(2025)

A Flexible Smart Healthcare Platform Conjugated with Artificial Epidermis Assembled by Three-Dimensionally Conductive MOF Network for Gas and Pressure Sensing

Qingqing Zhou1, Qihang Ding2, Zixun Geng1, Chencheng Hu1, Long Yang1, Zitong Kan1, Biao Dong1, Miae Won2,3, Hongwei Song1, Lin Xu1、*, and Jong Seung Kim2,3、**
Author Affiliations
  • 1State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun 130012, People’s Republic of China
  • 2Department of Chemistry, Korea University, Seoul 02841, Republic of Korea
  • 3TheranoChem Incorporation, Seoul, 02856, Republic of Korea
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    The rising flexible and intelligent electronics greatly facilitate the noninvasive and timely tracking of physiological information in telemedicine healthcare. Meticulously building bionic-sensitive moieties is vital for designing efficient electronic skin with advanced cognitive functionalities to pluralistically capture external stimuli. However, realistic mimesis, both in the skin’s three-dimensional interlocked hierarchical structures and synchronous encoding multistimuli information capacities, remains a challenging yet vital need for simplifying the design of flexible logic circuits. Herein, we construct an artificial epidermal device by in situ growing Cu3(HHTP)2 particles onto the hollow spherical Ti3C2Tx surface, aiming to concurrently emulate the spinous and granular layers of the skin’s epidermis. The bionic Ti3C2Tx@Cu3(HHTP)2 exhibits independent NO2 and pressure response, as well as novel functionalities such as acoustic signature perception and Morse code-encrypted message communication. Ultimately, a wearable alarming system with a mobile application terminal is self-developed by integrating the bimodular senor into flexible printed circuits. This system can assess risk factors related with asthmatic, such as stimulation of external NO2 gas, abnormal expiratory behavior and exertion degrees of fingers, achieving a recognition accuracy of 97.6% as assisted by a machine learning algorithm. Our work provides a feasible routine to develop intelligent multifunctional healthcare equipment for burgeoning transformative telemedicine diagnosis.

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    Qingqing Zhou, Qihang Ding, Zixun Geng, Chencheng Hu, Long Yang, Zitong Kan, Biao Dong, Miae Won, Hongwei Song, Lin Xu, Jong Seung Kim. A Flexible Smart Healthcare Platform Conjugated with Artificial Epidermis Assembled by Three-Dimensionally Conductive MOF Network for Gas and Pressure Sensing[J]. Nano-Micro Letters, 2025, 17(1): 050

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    Paper Information

    Category: Research Articles

    Received: Aug. 24, 2024

    Accepted: Sep. 23, 2024

    Published Online: Feb. 12, 2025

    The Author Email: Xu Lin (linxu@jlu.edu.cn), Kim Jong Seung (jongskim@korea.ac.kr)

    DOI:10.1007/s40820-024-01548-5

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