Biodegradable, Humidity-Insensitive Mask-Integrated E-Nose for Sustainable and Non-Invasive Continuous Breath Analysis

IF 19 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Indrajit Mondal, Adan Zoabi, Hossam Haick
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引用次数: 0

Abstract

Breath analysis offers a non-invasive approach to modern diagnostics by capturing volatile organic compounds (VOCs) in exhaled breath. However, current breath analysis technologies face challenges like humidity sensitivity, high costs, and biodegradable solutions, limiting their scalability and environmental sustainability. This study presents a paper-based, biodegradable, humidity-insensitive electronic nose (e-nose) sensor array integrated into a face mask for real-time breath analysis. The sensors, coated with hydrophobic polymer coating, ensure robust insensitivity to humidity, enabling reliable detection of VOCs even in high-moisture environments. The mask-integrated e-nose facilitates real-time breath monitoring for applications such as alcohol consumption tracking and respiratory health assessment. For the latter, Tuberculosis (TB) detection is selected as a representative use case, achieving 89% accuracy in disease diagnosis and recovery monitoring using a pre-trained deep-learning model. The fully-biodegradable paper-based sensor naturally degrades in soil within months, underscoring its eco-friendly design and suitability for disposable health monitoring. This work introduces a sustainable, user-friendly approach to breath analysis with potential applications in non-invasive disease detection and personalized healthcare monitoring.

Abstract Image

Abstract Image

可生物降解,湿度不敏感面罩集成电子鼻可持续和无创连续呼吸分析
呼吸分析通过捕捉呼出气体中的挥发性有机化合物(VOCs),为现代诊断提供了一种非侵入性方法。然而,目前的呼吸分析技术面临湿度敏感性、高成本和可生物降解解决方案等挑战,限制了其可扩展性和环境可持续性。本研究提出了一种基于纸张的、可生物降解的、湿度不敏感的电子鼻传感器阵列,集成到一个面罩中,用于实时呼吸分析。传感器涂有疏水性聚合物涂层,确保对湿度不敏感,即使在高湿度环境中也能可靠地检测voc。面罩集成电子鼻便于实时呼吸监测应用,如酒精消耗跟踪和呼吸健康评估。对于后者,选择结核病(TB)检测作为代表性用例,使用预训练的深度学习模型,在疾病诊断和恢复监测方面达到89%的准确率。这种完全可生物降解的纸质传感器可以在几个月内在土壤中自然降解,强调了其环保设计和一次性健康监测的适用性。这项工作介绍了一种可持续的、用户友好的呼吸分析方法,在非侵入性疾病检测和个性化医疗监测中具有潜在的应用。
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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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