Wearable Image-Based Colorimetric Sensor for Real-Time Gas Detection with High Chromaticity

IF 5.3 2区 材料科学 Q2 MATERIALS SCIENCE, MULTIDISCIPLINARY
Ji-Eun Yeo, Joo Hwan Ko, Seung Hyeon Lee, Young Min Song
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Abstract

Flexible gas sensing technologies are essential for a wide range of environments and applications, from wearable devices to large-scale industrial systems. Among various approaches, colorimetric sensing stands out for its distinct advantages, including energy-free operation, intuitive visual feedback, and high resistance to environmental disturbances. Leveraging ultrathin resonators, colorimetric sensing achieves enhanced chromaticity and angular stability. In this study, a flexible colorimetric gas sensor is introduced based on a resonator array integrated with polyvinyl alcohol (PVA). This sensor achieves nearly 100% coverage of the standard RGB color gamut, enabling precise and visually distinguishable gas detection. Fabricated on a flexible substrate, it demonstrates remarkable angular robustness, maintaining consistent color under incident light angle variations of up to 60°. This capability, combined with rapid response times of 180 ms for PVA swelling and 210 ms for shrinking, highlights the sensor's adaptability for diverse applications, including wearable devices and industrial-scale monitoring. Furthermore, the sensor is evaluated under various volatile organic compounds (VOCs) and imaging conditions, showcasing its potential for image-based analysis and accurate VOC detection. Notably, it demonstrated the ability to detect VOC concentrations that are indistinguishable using a single sensor by simultaneously analyzing data from four sensor arrays.

Abstract Image

用于高色度实时气体检测的可穿戴图像比色传感器
灵活的气体传感技术对于从可穿戴设备到大型工业系统的各种环境和应用至关重要。在各种方法中,比色传感以其独特的优势脱颖而出,包括无能量操作,直观的视觉反馈,以及对环境干扰的高抵抗力。利用超薄谐振器,比色传感实现增强的色度和角稳定性。本文介绍了一种基于聚乙烯醇(PVA)谐振器阵列的柔性比色气体传感器。该传感器几乎100%覆盖标准RGB色域,实现精确和视觉上可区分的气体检测。在柔性衬底上制造,它具有显著的角度稳健性,在入射光角度变化高达60°的情况下保持一致的颜色。这种能力,再加上PVA膨胀的快速响应时间为180毫秒,收缩的快速响应时间为210毫秒,突出了传感器对各种应用的适应性,包括可穿戴设备和工业规模的监控。此外,该传感器在各种挥发性有机化合物(VOCs)和成像条件下进行了评估,展示了其基于图像的分析和准确VOC检测的潜力。值得注意的是,它证明了通过同时分析来自四个传感器阵列的数据,使用单个传感器检测无法区分的VOC浓度的能力。
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来源期刊
Advanced Electronic Materials
Advanced Electronic Materials NANOSCIENCE & NANOTECHNOLOGYMATERIALS SCIE-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
11.00
自引率
3.20%
发文量
433
期刊介绍: Advanced Electronic Materials is an interdisciplinary forum for peer-reviewed, high-quality, high-impact research in the fields of materials science, physics, and engineering of electronic and magnetic materials. It includes research on physics and physical properties of electronic and magnetic materials, spintronics, electronics, device physics and engineering, micro- and nano-electromechanical systems, and organic electronics, in addition to fundamental research.
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