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一种与人工表皮结合的柔性智能医疗保健平台,该人工表皮由三维导电金属有机框架网络组装而成,用于气体和压力传感。

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

作者信息

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

机构信息

State Key Laboratory of Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, Changchun, 130012, People's Republic of China.

Department of Chemistry, Korea University, Seoul, 02841, Republic of Korea.

出版信息

Nanomicro Lett. 2024 Oct 25;17(1):50. doi: 10.1007/s40820-024-01548-5.

DOI:10.1007/s40820-024-01548-5
PMID:39453552
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11511809/
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(HHTP) particles onto the hollow spherical TiCT surface, aiming to concurrently emulate the spinous and granular layers of the skin's epidermis. The bionic TiCT@Cu(HHTP) exhibits independent NO 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 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.

摘要

不断发展的柔性和智能电子技术极大地促进了远程医疗保健中生理信息的无创和及时跟踪。精心构建仿生敏感部分对于设计具有先进认知功能的高效电子皮肤以多元捕获外部刺激至关重要。然而,在皮肤的三维联锁层次结构和同步编码多刺激信息能力方面进行逼真的模仿,对于简化柔性逻辑电路的设计而言,仍然是一项具有挑战性但又至关重要的需求。在此,我们通过在空心球形TiCT表面原位生长Cu(HHTP)颗粒来构建一种人工表皮装置,旨在同时模拟皮肤表皮的棘层和颗粒层。仿生TiCT@Cu(HHTP)表现出独立的NO和压力响应,以及诸如声学特征感知和摩尔斯电码加密消息通信等新功能。最终,通过将双模块传感器集成到柔性印刷电路中,自行开发了一种带有移动应用终端的可穿戴报警系统。该系统可以评估与哮喘相关的风险因素,如外部NO气体刺激、异常呼气行为和手指用力程度,在机器学习算法的辅助下实现了97.6%的识别准确率。我们的工作为开发用于新兴变革性远程医疗诊断的智能多功能医疗设备提供了一条可行的途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303d/11511809/60e94ad52df3/40820_2024_1548_Fig7_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303d/11511809/bd6ee38a6661/40820_2024_1548_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303d/11511809/60e94ad52df3/40820_2024_1548_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303d/11511809/c1e8f4892f0e/40820_2024_1548_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303d/11511809/796956c9df9e/40820_2024_1548_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303d/11511809/fe601be01859/40820_2024_1548_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303d/11511809/226a1dbcc8ea/40820_2024_1548_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303d/11511809/27d54c569eed/40820_2024_1548_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303d/11511809/bd6ee38a6661/40820_2024_1548_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/303d/11511809/60e94ad52df3/40820_2024_1548_Fig7_HTML.jpg

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