College of Textile and Clothing Engineering, Soochow University, Suzhou 215123, P R China.
State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan 430200, P R China.
ACS Sens. 2024 May 24;9(5):2575-2584. doi: 10.1021/acssensors.4c00288. Epub 2024 May 2.
Although electronic textiles that can detect external stimuli show great promise for fire rescue, existing firefighting clothing is still scarce for simultaneously integrating reliable early fire warning and real-time motion sensing, hardly providing intelligent personal protection under complex high-temperature conditions. Herein, we introduce an "all-in-one" hierarchically sandwiched fabric (HSF) sensor with a simultaneous temperature and pressure stimulus response for developing intelligent personal protection. A cross-arranged structure design has been proposed to tackle the serious mutual interference challenge during multimode sensing using two separate sets of core-sheath composite yarns and arrayed graphene-coated aerogels. The functional design of the HSF sensor not only possesses wide-range temperature sensing from 25 to 400 °C without pressure disturbance but also enables highly sensitive pressure response with good thermal adaptability (up to 400 °C) and wide pressure detection range (up to 120 kPa). As a proof of concept, we integrate large-scalable HSF sensors onto conventional firefighting clothing for passive/active fire warning and also detecting spatial pressure and temperature distribution when a firefighter is exposed to high-temperature flames, which may provide a useful design strategy for the application of intelligent firefighting protective clothing.
虽然能够检测外部刺激的电子纺织品在火灾救援方面显示出巨大的应用前景,但现有的消防服仍然缺乏可靠的早期火灾预警和实时运动感应功能,几乎无法在复杂的高温环境下提供智能化的个人保护。在此,我们介绍了一种具有同时温度和压力刺激响应的“一体化”分层夹心织物(HSF)传感器,用于开发智能个人保护。提出了一种交叉排列结构设计,以解决使用两组独立的核壳复合纱线和排列的石墨烯涂层气凝胶进行多模式传感时严重的相互干扰挑战。HSF 传感器的功能设计不仅具有从 25°C 到 400°C 的宽温度感应范围,而且在具有良好热适应性(高达 400°C)和宽压力检测范围(高达 120kPa)的情况下,还能实现高灵敏度的压力响应。作为概念验证,我们将大规模 HSF 传感器集成到传统消防服上,用于被动/主动火灾预警,并检测消防员暴露在高温火焰下时的空间压力和温度分布,这可能为智能消防防护服的应用提供了有用的设计策略。