Wearable Kapton graphene biosensor for detection of toxic gases

IF 5.4 Q2 ENGINEERING, ENVIRONMENTAL Journal of hazardous materials advances Pub Date : 2024-08-01 DOI:10.1016/j.hazadv.2024.100452
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Abstract

Toxic gases cause a significant number of human deaths every year across the globe. Different types of harmful substances can affect individuals in various ways. Inhaling these gases can have harmful consequences for the body, leading to physiological changes or even death. As a preliminary measure, a simulation application is utilized to detect certain gases by utilizing small-scale and flexible architectures, along with advanced detection techniques. The active material used in this study is a patch of emitting graphene embedded on a polyimide film (Kapton), which helps to determine the frequency of the RF Planar Resonant Structure. We plan to utilize the graphene-Kapton sensor for conducting non-invasive testing. The device has been tested for detecting and recognizing various dangerous and toxic gases, including Fluorine azide (F2N), Hydrogen Iodide (HI), Nitrogen (N2), Methane (CH4), and Carbon monoxide (CO). The simulation results suggest that the Graphene-Kapton flexible sensor provides excellent detection performance. The sensor can accurately identify each gas based on its distinct characteristics. Furthermore, ample sensitivity analysis against geometrical parameters and external electrical stimulation is performed to show the robustness and reliability of the proposed structure.

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用于检测有毒气体的可穿戴式卡普顿石墨烯生物传感器
有毒气体每年在全球造成大量人员死亡。不同类型的有害物质会以不同的方式对人体造成影响。吸入这些气体会对人体产生有害影响,导致生理变化甚至死亡。作为一项初步措施,我们利用一个模拟应用程序,通过使用小规模和灵活的架构以及先进的检测技术来检测某些气体。本研究中使用的活性材料是嵌在聚酰亚胺薄膜(Kapton)上的一块发射石墨烯,它有助于确定射频平面谐振结构的频率。我们计划利用石墨烯-Kapton 传感器进行非侵入式测试。我们已对该装置进行了检测和识别各种危险和有毒气体的测试,包括叠氮化氟化合物 (F2N)、碘化氢 (HI)、氮气 (N2)、甲烷 (CH4) 和一氧化碳 (CO)。模拟结果表明,石墨烯-卡普顿柔性传感器具有出色的检测性能。该传感器能根据每种气体的不同特征准确识别它们。此外,还对几何参数和外部电刺激进行了充分的灵敏度分析,以显示拟议结构的稳健性和可靠性。
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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%
发文量
0
审稿时长
50 days
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