A Facile Strategy Based on Ionic Liquids to Modulate the Antibacterial, Flame-Retardant, and Sensing Properties of Cotton Fabrics

IF 19 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Advanced Functional Materials Pub Date : 2025-02-19 DOI:10.1002/adfm.202425093
Hongfu Ru, Yuchen Ma, Yilin Jin, Shuangfei Xiang, Shujun Zhao, Feiya Fu, Xiangdong Liu, Paul J. Dyson, Zhaofu Fei
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Abstract

Surface treatment of textiles causes a significant amount of environmental pollution and endowing traditional fabrics with multiple functions through facile methods remains challenging. Here a simple strategy is proposed involving the copolymerization of methacrylic acid (MA) functionalized cotton fabric (CF) with vinyl-functionalized ionic liquid (IL). The resulting CF-PIL (where P refers to poly) shows high bacteriostatic reduction rates (BR > 99%), excellent flame retardancy (LOI = 28.1%), together with high sensitivity and quick responsiveness. The CF-PIL exhibits unparalleled reliability even after 50 washing cycles. The CF-PIL-based fabric also captures signals from mechanical stimuli, humidity, and temperature. This allows the CF-PIL material to act as a sensor for physiological signal monitoring (breathing, body temperature, and external mechanical stimulation), and also for high-temperature. Through the design of a circuit, the CF-PIL-based fabric is assembled for a high-temperature fire alarm system, which can provide early warning of high temperatures when near or in contact with flames within a few seconds. While many applications of the CF-PIL may be envisaged, of particular relevance are intelligent firefighting suits and smart architectural textiles.

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离子液体调控棉织物抗菌、阻燃和传感性能的简单策略
纺织品的表面处理造成了大量的环境污染,通过简单的方法赋予传统织物多种功能仍然是一个挑战。本文提出了甲基丙烯酸(MA)功能化棉织物(CF)与乙烯基功能化离子液体(IL)共聚的简单策略。所得的CF-PIL(其中P指聚)显示出高抑菌率(BR >;99%),优异的阻燃性(LOI = 28.1%),灵敏度高,反应速度快。即使经过50次洗涤循环,CF-PIL也表现出无与伦比的可靠性。这种基于cf - pil的织物还能捕捉机械刺激、湿度和温度的信号。这使得CF-PIL材料可以作为生理信号监测(呼吸、体温和外部机械刺激)的传感器,也可以用于高温。通过电路的设计,将基于cf - pil的织物组装成高温火灾报警系统,当靠近或接触火焰时,可以在几秒钟内提供高温预警。虽然可以设想CF-PIL的许多应用,但特别相关的是智能消防服和智能建筑纺织品。
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来源期刊
Advanced Functional Materials
Advanced Functional Materials 工程技术-材料科学:综合
CiteScore
29.50
自引率
4.20%
发文量
2086
审稿时长
2.1 months
期刊介绍: Firmly established as a top-tier materials science journal, Advanced Functional Materials reports breakthrough research in all aspects of materials science, including nanotechnology, chemistry, physics, and biology every week. Advanced Functional Materials is known for its rapid and fair peer review, quality content, and high impact, making it the first choice of the international materials science community.
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