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用于增强消防员安全性的双模式温度-压力MXene传感器及深度学习增强型智能手套。

Dual-Mode Temperature-Pressure MXene Sensor for Enhanced Firefighter Safety and Deep Learning-Enhanced Smart Gloves.

作者信息

Zhang Xu, Gong Yuanhao, Xie Fei, Sun Ping, Jiang Saihua

机构信息

School of Mechanical and Automotive Engineering, Institute of Safety Science & Engineering, South China University of Technology, Guangzhou 510641, P. R. China.

Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing, South China University of Technology, Guangzhou 510641, P. R. China.

出版信息

ACS Appl Mater Interfaces. 2025 Jul 2;17(26):38280-38287. doi: 10.1021/acsami.5c09442. Epub 2025 Jun 24.

DOI:10.1021/acsami.5c09442
PMID:40552641
Abstract

Dual-mode sensors capable of detecting multiple physical stimuli simultaneously offer significant advantages for advanced applications in human-machine interaction, robotics, and healthcare. However, the flammability of conventional materials limits their widespread adoption. The recently developed two-dimensional transition metal carbide (MXene) combines exceptional thermoelectric properties, metallic-like conductivity, and flame retardancy, making it a promising solution to these limitations. In this study, we present multifunctional sensors designed to accurately detect temperature and pressure stimuli by integrating MXene sheets onto flexible, fire-resistant polyimide (PI) substrates. These sensors demonstrate excellent performance in both temperature and pressure sensing, making them ideal for smart firefighting suits, which can monitor firefighters' health in real time. Moreover, when integrated with deep-learning algorithms, the sensors, assembled into smart gloves, can recognize objects of varying weights and temperatures. This work provides a simple and effective method for preparing multifunctional wearable sensors capable of distinguishing multiple stimuli across diverse environments.

摘要

能够同时检测多种物理刺激的双模式传感器在人机交互、机器人技术和医疗保健等先进应用中具有显著优势。然而,传统材料的易燃性限制了它们的广泛应用。最近开发的二维过渡金属碳化物(MXene)兼具优异的热电性能、类金属导电性和阻燃性,使其成为解决这些限制的一个有前景的方案。在本研究中,我们展示了通过将MXene片材集成到柔性、耐火聚酰亚胺(PI)基板上而设计的多功能传感器,用于精确检测温度和压力刺激。这些传感器在温度和压力传感方面均表现出优异性能,使其成为智能消防服的理想选择,智能消防服能够实时监测消防员的健康状况。此外,当与深度学习算法集成时,组装成智能手套的传感器能够识别不同重量和温度的物体。这项工作为制备能够在不同环境中区分多种刺激的多功能可穿戴传感器提供了一种简单有效的方法。

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