{"title":"Design and Optimization of a Novel SPR Sensor for Detecting Cancerous Cells: A Simulation-Based Study","authors":"Bhishma Karki, Amrindra Pal, Arun Uniyal, Manashree, Pushkar Jassal, Aashna Sinha","doi":"10.1007/s11468-025-03057-6","DOIUrl":null,"url":null,"abstract":"<div><p>This numerical work uses a surface plasmon resonance (SPR)-based Kretschmann sensor structure to examine early cancer detection. The proposed optical sensor is intended to identify different types of cancer-infected cells in the human body with refractive indices (RIs) between 1.38 and 1.401. It performs well across various RI changes, including biological solutions. The sensor is designed and analyzed using a MATLAB simulation platform based on the transfer matrix method (TMM). Characteristic parameters like sensitivity (S), full width at half maximum (FWHM), detection accuracy (DA), and figure of merit (FoM) are used to assess the suggested SPR sensor’s performance. With a maximum FoM of 166.07 RIU<sup>−1</sup> and DA of 0.465°<sup>−1</sup>, the numerical findings demonstrate that the developed sensor can detect skin, cervical, blood, adrenal gland, and type I and type II breast cancer with a sensitivity of 200, 245.83, 257.14, 303.57, 353.57, and 357.14°/RIU, respectively. Based on the obtained results, we think that the proposed SPR sensor may find use in medical science for early cancer detection, which would open up new possibilities in the biosensing sector.</p></div>","PeriodicalId":736,"journal":{"name":"Plasmonics","volume":"20 8","pages":"6027 - 6035"},"PeriodicalIF":4.3000,"publicationDate":"2025-06-02","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/s11468-025-03057-6","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}
引用次数: 0
Abstract
This numerical work uses a surface plasmon resonance (SPR)-based Kretschmann sensor structure to examine early cancer detection. The proposed optical sensor is intended to identify different types of cancer-infected cells in the human body with refractive indices (RIs) between 1.38 and 1.401. It performs well across various RI changes, including biological solutions. The sensor is designed and analyzed using a MATLAB simulation platform based on the transfer matrix method (TMM). Characteristic parameters like sensitivity (S), full width at half maximum (FWHM), detection accuracy (DA), and figure of merit (FoM) are used to assess the suggested SPR sensor’s performance. With a maximum FoM of 166.07 RIU−1 and DA of 0.465°−1, the numerical findings demonstrate that the developed sensor can detect skin, cervical, blood, adrenal gland, and type I and type II breast cancer with a sensitivity of 200, 245.83, 257.14, 303.57, 353.57, and 357.14°/RIU, respectively. Based on the obtained results, we think that the proposed SPR sensor may find use in medical science for early cancer detection, which would open up new possibilities in the biosensing sector.
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.