Smart textiles for pollutant gas sensor and capture: Advancement and future perspective

IF 9.1 Q2 ENGINEERING, ENVIRONMENTAL
Desalegn Atalie , Yared Fikre
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引用次数: 0

Abstract

The burgeoning field of smart textiles for pollutant gas sensing and capture is poised to revolutionize personal safety and environmental monitoring, offering a crucial alternative to bulky, stationary systems by providing personalized, real-time data. This comprehensive review synthesizes the latest advancements across the entire technology spectrum, starting with fundamental sensing principles. We analyze the mechanisms, materials, and recent breakthroughs in chemiresistive sensing (leveraging materials like graphene and carbon nanotubes for high-sensitivity electronic response) and optical/colorimetric sensing (providing visible, quantifiable feedback). Furthermore, we detail the active pollutant removal capabilities, encompassing adsorption such as Metal-Organic Frameworks (MOFs) for high-capacity capture), absorption, and catalytic conversion (for proactive pollutant neutralization). The review highlights the role of innovative nanomaterials and the scalability of key fabrication methods, including inkjet, screen printing, electrospinning, and In-situ growth. These technologies underpin promising applications in personal protective equipment, indoor air quality monitoring, environmental protection, and medical diagnostics. Ultimately, while smart textiles hold immense potential, their widespread integration hinges on overcoming critical challenges in ensuring long-term durability, developing flexible and efficient power solutions, and prioritizing sustainable, eco-friendly design.

Abstract Image

用于污染气体传感器和捕获的智能纺织品:进展和未来展望
用于污染物气体传感和捕获的智能纺织品的新兴领域有望彻底改变个人安全和环境监测,通过提供个性化的实时数据,为笨重的固定系统提供重要的替代方案。这篇全面的综述综合了整个技术领域的最新进展,从基本的传感原理开始。我们分析了化学传感(利用石墨烯和碳纳米管等材料进行高灵敏度电子响应)和光学/比色传感(提供可见的、可量化的反馈)的机制、材料和最新突破。此外,我们详细介绍了主动污染物去除能力,包括吸附,如用于高容量捕获的金属有机框架(MOFs),吸收和催化转化(用于主动污染物中和)。这篇综述强调了创新纳米材料的作用和关键制造方法的可扩展性,包括喷墨、丝网印刷、静电纺丝和原位生长。这些技术为个人防护装备、室内空气质量监测、环境保护和医疗诊断等领域的应用奠定了基础。最终,虽然智能纺织品具有巨大的潜力,但它们的广泛集成取决于克服确保长期耐用性的关键挑战,开发灵活高效的电源解决方案,并优先考虑可持续、环保的设计。
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来源期刊
Journal of hazardous materials advances
Journal of hazardous materials advances Environmental Engineering
CiteScore
4.80
自引率
0.00%
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0
审稿时长
50 days
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