Kalpana N., Abdullah N. Alodhayb, Saravanan Pandiaraj, Shivam Singh
{"title":"Sensitivity Enhancement Using Surface Plasmon Resonance Sensor for Colorectal Detection by Employing Heterostructure","authors":"Kalpana N., Abdullah N. Alodhayb, Saravanan Pandiaraj, Shivam Singh","doi":"10.1007/s11468-024-02735-1","DOIUrl":null,"url":null,"abstract":"<div><p>This article proposes a surface plasmon resonance (SPR) sensor based on heterostructure (MXene/h-BN/BP) for colorectal cancer detection. Surface plasmons (SPs) have been excited using the prism-based setup. The silver (Ag) layer on the CaF<sub>2</sub> prism makes up the structure of the proposed sensor. To increase the stability of the Ag layer, a heterostructure layer is applied on top. Both normal and colorectal tissues are used as the analyte medium to detect colorectal cancer. The transfer matrix method has been used to carry out the sensor’s numerical simulations. The proposed sensor’s performance is determined by its sensitivity, detection accuracy (DA), and figure of merit (FoM), which takes into account the SPR curve’s dip strength and full width at half maxima (FWHM). The sensitivity and FoM 315.30°/RIU and 52.34/RIU are obtained, respectively. The maximal sensitivity of 322.21°/RIU is achieved. Additionally, the penetration depth (PD) is achieved at 218.81 nm with the normal tissue. The proposed sensor would be a good candidate for biosensors and medical diagnostics.</p></div>","PeriodicalId":736,"journal":{"name":"Plasmonics","volume":"20 9","pages":"6989 - 6999"},"PeriodicalIF":4.3000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Plasmonics","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1007/s11468-024-02735-1","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}
引用次数: 0
Abstract
This article proposes a surface plasmon resonance (SPR) sensor based on heterostructure (MXene/h-BN/BP) for colorectal cancer detection. Surface plasmons (SPs) have been excited using the prism-based setup. The silver (Ag) layer on the CaF2 prism makes up the structure of the proposed sensor. To increase the stability of the Ag layer, a heterostructure layer is applied on top. Both normal and colorectal tissues are used as the analyte medium to detect colorectal cancer. The transfer matrix method has been used to carry out the sensor’s numerical simulations. The proposed sensor’s performance is determined by its sensitivity, detection accuracy (DA), and figure of merit (FoM), which takes into account the SPR curve’s dip strength and full width at half maxima (FWHM). The sensitivity and FoM 315.30°/RIU and 52.34/RIU are obtained, respectively. The maximal sensitivity of 322.21°/RIU is achieved. Additionally, the penetration depth (PD) is achieved at 218.81 nm with the normal tissue. The proposed sensor would be a good candidate for biosensors and medical diagnostics.
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.