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

作　　者：Qingqing Zhou Qihang Ding Zixun Geng Chencheng Hu Long Yang Zitong Kan Biao Dong Miae Won Hongwei Song Lin Xu Jong Seung Kim 

机构地区：[1]State Key Laboratory of Integrated Optoelectronics,College of Electronic Science and Engineering,Jilin University,Changchun 130012,People’s Republic of China [2]Department of Chemistry,Korea University,Seoul 02841,Republic of Korea [3]TheranoChem Incorporation,Seoul 02856,Republic of Korea

出　　处：《Nano-Micro Letters》2025年第2期601-620,共20页纳微快报（英文版）

基　　金：supported by the National Natural Science Foundation of China(Grant Nos.U22A20184,52250077,and 52272080);the Jilin Province Natural Science Foundation of China(No.20220201093GX);the Fundamental Research Funds for the Central Universities;supported by the National Research Foundation of Korea(2018R1A3B1052702 to JSK);the Starting growth Technological R&D Program(TIPS Program,No.S3201803,2021,MW)funded by the Ministry of SMEs and Startups(MSS,Korea).

摘　　要：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.

关 键 词：Ti_(3)C_(2)T_(x)@Cu_(3)(HHTP)_(2)composites NO_(2)/pressure flexible sensors Health-monitoring Machine learning 

分 类 号：TH77[机械工程—仪器科学与技术] TP212[机械工程—精密仪器及机械]