Haitham Alsaif, Jacob Wekalao, Naim Ben Ali, Omar Kahouli, Jaganathan Logeshwaran, Shobhit K. Patel, Ammar Armghan
{"title":"设计和优化用于疟疾检测的基于 MXene 的太赫兹表面等离子体共振传感器","authors":"Haitham Alsaif, Jacob Wekalao, Naim Ben Ali, Omar Kahouli, Jaganathan Logeshwaran, Shobhit K. Patel, Ammar Armghan","doi":"10.1007/s11468-024-02455-6","DOIUrl":null,"url":null,"abstract":"<p>Developing sensitive and specific methods for detecting malaria is a substantial challenge in biomedical research. Here, we introduce a novel approach utilizing a metasurface sensor based on graphene for the detection of malaria. Modelled on a silicon dioxide (SiO<sub>2</sub>) substrate, this sensor allows seamless integration with current electronic and optical technologies. The sensor design incorporates square and quadrant-based resonators, optimized through comprehensive parametric analysis to assess their geometric effects on sensor performance. The results demonstrate an enhanced sensitivity of 600 GHzRIU<sup>−1</sup>. Analysis of the electric field illustrates frequency-dependent transmittance properties, alongside promising 2-bit encoding capabilities. Furthermore, the research establishes a direct correlation between resonance frequency, refractive index, and analyte concentration. This sensor offers a promising avenue for swift, precise, and non-invasive malaria detection, potentially enhancing point-of-care diagnostic capabilities in healthcare settings.</p>","PeriodicalId":736,"journal":{"name":"Plasmonics","volume":"76 1","pages":""},"PeriodicalIF":3.3000,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Optimization of a MXene-Based Terahertz Surface Plasmon Resonance Sensor for Malaria Detection\",\"authors\":\"Haitham Alsaif, Jacob Wekalao, Naim Ben Ali, Omar Kahouli, Jaganathan Logeshwaran, Shobhit K. Patel, Ammar Armghan\",\"doi\":\"10.1007/s11468-024-02455-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Developing sensitive and specific methods for detecting malaria is a substantial challenge in biomedical research. Here, we introduce a novel approach utilizing a metasurface sensor based on graphene for the detection of malaria. Modelled on a silicon dioxide (SiO<sub>2</sub>) substrate, this sensor allows seamless integration with current electronic and optical technologies. The sensor design incorporates square and quadrant-based resonators, optimized through comprehensive parametric analysis to assess their geometric effects on sensor performance. The results demonstrate an enhanced sensitivity of 600 GHzRIU<sup>−1</sup>. Analysis of the electric field illustrates frequency-dependent transmittance properties, alongside promising 2-bit encoding capabilities. Furthermore, the research establishes a direct correlation between resonance frequency, refractive index, and analyte concentration. This sensor offers a promising avenue for swift, precise, and non-invasive malaria detection, potentially enhancing point-of-care diagnostic capabilities in healthcare settings.</p>\",\"PeriodicalId\":736,\"journal\":{\"name\":\"Plasmonics\",\"volume\":\"76 1\",\"pages\":\"\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Plasmonics\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://doi.org/10.1007/s11468-024-02455-6\",\"RegionNum\":4,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plasmonics","FirstCategoryId":"101","ListUrlMain":"https://doi.org/10.1007/s11468-024-02455-6","RegionNum":4,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Design and Optimization of a MXene-Based Terahertz Surface Plasmon Resonance Sensor for Malaria Detection
Developing sensitive and specific methods for detecting malaria is a substantial challenge in biomedical research. Here, we introduce a novel approach utilizing a metasurface sensor based on graphene for the detection of malaria. Modelled on a silicon dioxide (SiO2) substrate, this sensor allows seamless integration with current electronic and optical technologies. The sensor design incorporates square and quadrant-based resonators, optimized through comprehensive parametric analysis to assess their geometric effects on sensor performance. The results demonstrate an enhanced sensitivity of 600 GHzRIU−1. Analysis of the electric field illustrates frequency-dependent transmittance properties, alongside promising 2-bit encoding capabilities. Furthermore, the research establishes a direct correlation between resonance frequency, refractive index, and analyte concentration. This sensor offers a promising avenue for swift, precise, and non-invasive malaria detection, potentially enhancing point-of-care diagnostic capabilities in healthcare settings.
期刊介绍：
Plasmonics is an international forum for the publication of peer-reviewed leading-edge original articles that both advance and report our knowledge base and practice of the interactions of free-metal electrons, Plasmons.
Topics covered include notable advances in the theory, Physics, and applications of surface plasmons in metals, to the rapidly emerging areas of nanotechnology, biophotonics, sensing, biochemistry and medicine. Topics, including the theory, synthesis and optical properties of noble metal nanostructures, patterned surfaces or materials, continuous or grated surfaces, devices, or wires for their multifarious applications are particularly welcome. Typical applications might include but are not limited to, surface enhanced spectroscopic properties, such as Raman scattering or fluorescence, as well developments in techniques such as surface plasmon resonance and near-field scanning optical microscopy.
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