Alireza Barati Haghverdi , Amir Ali Mohammad Khani , Ilghar Rezaei , Toktam Aghaee , Sadegh Biabanifard
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Acceptable agreement between the ECM and FEM simulations is shown while an interesting tuning capability against external stimulation is obtained. It should be noted that the ECM approach is performed in just a few seconds while the FEM simulation takes more than 3 h to produce results. In addition, the maximum error is around the second absorption peak and is less than 4%.The main contribution of this work is introducing a simple structure to distinguish several toxic gases in the sub-THz gap (0.1–2 THz). Additionally, ample simulations are performed to verify the sensor's reliability. According to the simulation results, the proposed meta-structure can appropriately show different peak frequencies and even different numbers of absorption peaks against different concentrations of toxic gases. 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引用次数: 0
摘要
本文提出了一种光学化学传感器,用于检测甲烷(CH4)、氮气(N2)、二氧化氮(NO2)和一氧化碳(CO)等有毒气体。这种化学传感器由石墨烯带和 Kapton 材料作为传感元件。此外,在信号传输方面还利用了吸收等电磁特性。这类小规模、灵活的结构和先进的检测技术在识别有毒气体方面也很有需求。为了开发拟议的化学传感器,本研究从等效电路模型(ECM)的角度对其结构进行了数学描述,并以全波仿真(FEM)作为参考。ECM 与 FEM 仿真之间显示出令人满意的一致性,同时还获得了针对外部刺激的有趣调谐能力。值得注意的是,ECM 方法只需几秒钟即可完成,而 FEM 仿真则需要 3 个多小时才能得出结果。此外,最大误差在第二个吸收峰附近,小于 4%。这项工作的主要贡献在于引入了一种简单的结构,用于区分亚太赫间隙(0.1-2 太赫兹)中的几种有毒气体。此外,还进行了大量模拟,以验证传感器的可靠性。根据模拟结果,针对不同浓度的有毒气体,所提出的元结构可以适当地显示出不同的峰值频率,甚至不同数量的吸收峰。此外,由于石墨烯的超薄特性和 Kapton 的柔韧性,建议的传感器可以穿戴,同时被认为是非侵入性测试。
In this paper, an optical chemical sensor is proposed to detect some toxic gases such as Methane (CH4), Nitrogen (N2), Nitrogen dioxide (NO2), and Carbon monoxide (CO). This type of chemical sensor consists of graphene ribbons and Kapton materials as sensing elements. Also, exploits electromagnetic properties such as absorption in terms of signal transducing. These kinds of small-scale, flexible architectures and advanced detection techniques are in demand to identify toxic gases as well. To develop the proposed chemical sensor, this study describes the structure in the aspect of an equivalent circuit model (ECM) mathematically, while the full-wave simulation (FEM) is performed as the reference. Acceptable agreement between the ECM and FEM simulations is shown while an interesting tuning capability against external stimulation is obtained. It should be noted that the ECM approach is performed in just a few seconds while the FEM simulation takes more than 3 h to produce results. In addition, the maximum error is around the second absorption peak and is less than 4%.The main contribution of this work is introducing a simple structure to distinguish several toxic gases in the sub-THz gap (0.1–2 THz). Additionally, ample simulations are performed to verify the sensor's reliability. According to the simulation results, the proposed meta-structure can appropriately show different peak frequencies and even different numbers of absorption peaks against different concentrations of toxic gases. Additionally, due to the ultra-thin nature of the graphene and the flexibility of the Kapton, the proposed sensor can be wearable while it is considered non-invasive testing.
期刊介绍:
Sensing and Bio-Sensing Research is an open access journal dedicated to the research, design, development, and application of bio-sensing and sensing technologies. The editors will accept research papers, reviews, field trials, and validation studies that are of significant relevance. These submissions should describe new concepts, enhance understanding of the field, or offer insights into the practical application, manufacturing, and commercialization of bio-sensing and sensing technologies.
The journal covers a wide range of topics, including sensing principles and mechanisms, new materials development for transducers and recognition components, fabrication technology, and various types of sensors such as optical, electrochemical, mass-sensitive, gas, biosensors, and more. It also includes environmental, process control, and biomedical applications, signal processing, chemometrics, optoelectronic, mechanical, thermal, and magnetic sensors, as well as interface electronics. Additionally, it covers sensor systems and applications, µTAS (Micro Total Analysis Systems), development of solid-state devices for transducing physical signals, and analytical devices incorporating biological materials.