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

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 Cu<sub>3</sub>(HHTP)<sub>2</sub> particles onto the hollow spherical Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> surface, aiming to concurrently emulate the spinous and granular layers of the skin's epidermis. The bionic Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub>@Cu<sub>3</sub>(HHTP)<sub>2</sub> exhibits independent NO<sub>2</sub> 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 NO<sub>2</sub> 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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Publication Details

Journal
Nano-Micro Letters
Published
2024-10-25
DOI
https://doi.org/10.1007/s40820-024-01548-5
Citations
38
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
7.01

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article

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

Miae Won, Chencheng Hu, Zitong Kan, Lin Xu et al.
38 citations
Nano-Micro Letters
Advanced Sensor and Energy Harvesting Materials
7.01
article

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

Miae Won, Chencheng Hu, Zitong Kan, Lin Xu, Zixun Geng, Qihang Ding, Biao Dong, Jong Seung Kim, Long Yang, Hongwei Song, Qingqing Zhou
article en
38 citations

Abstract

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 Cu<sub>3</sub>(HHTP)<sub>2</sub> particles onto the hollow spherical Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub> surface, aiming to concurrently emulate the spinous and granular layers of the skin's epidermis. The bionic Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub>@Cu<sub>3</sub>(HHTP)<sub>2</sub> exhibits independent NO<sub>2</sub> 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 NO<sub>2</sub> 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.

Nano-Micro LettersVol. 17(1)
University of Seoul (KR), Jilin University (CN), Korea University (KR), State Key Laboratory on Integrated Optoelectronics (CN), Korea University (JP)
Natural Science Foundation of Jilin Province, National Research Foundation, National Natural Science Foundation of China, National Research Foundation of Korea, People's Government of Jilin Province, Ministry of SMEs and Startups, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 2%
Advanced Sensor and Energy Harvesting Materials
7.01
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