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

• Published in: Nano-micro letters Vol. 17; no. 1; pp. 50 - 20
• Main Authors: Zhou, Qingqing, Ding, Qihang, Geng, Zixun, Hu, Chencheng, Yang, Long, Kan, Zitong, Dong, Biao, Won, Miae, Song, Hongwei, Xu, Lin, Kim, Jong Seung
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.12.2025; Springer Nature B.V; SpringerOpen
• Subjects: Algorithms; Applications programs; Asthma; Bionics; Coding; Energy; Engineering; Epidermis; External pressure; Health care; Health-monitoring; Logic circuits; Machine learning; Mimicry; Mobile computing; Morse code; Nanoscale Science and Technology; Nanotechnology; Nanotechnology and Microengineering; Nitrogen dioxide; NO2/pressure flexible sensors; Stimuli; Telemedicine; Ti3C2T x @Cu3(HHTP)2 composites; Wearable technology; composites; Health-monitoring; NO; @Cu; pressure flexible sensors; C; T; Ti; Machine learning; HHTP; NO2/pressure flexible sensors; Ti3C2Tx@Cu3(HHTP)2 composites
• ISSN: 2311-6706; 2150-5551; 2150-5551
• DOI: 10.1007/s40820-024-01548-5

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 3 (HHTP) 2 particles onto the hollow spherical Ti 3 C 2 T x surface, aiming to concurrently emulate the spinous and granular layers of the skin’s epidermis. The bionic Ti 3 C 2 T x @Cu 3 (HHTP) 2 exhibits independent NO 2 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 2 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. Highlights A smart wearable alarming system integrated artificial epidermal device for pluralistically identifying asthmatic attack risk factors, achieving a 97.6% classification accuracy as assisted by machine learning algorithm. A meticulous mimicry both in the advanced structural attributes and encoding information abilities of the skin was adopted to design a novel artificial epidermal device by integrating conductive Cu 3 (HHTP) 2 coupled with spherical Ti 3 C 2 T x . The bioinspired Ti 3 C 2 T x @Cu 3 (HHTP) 2 sensors can independently perceive NO 2 gas and pressure-triggered stimuli.