Advanced SPR-Based Biosensors for Potential Use in Cancer Detection: A Theoretical Approach

This study presents a numerical investigation of surface plasmon resonance (SPR) sensors based on multilayer configurations incorporating BK7, silver, silicon nitride (Si<sub>3</sub>N<sub>4</sub>), and black phosphorus (BP). Using the transfer matrix method, the optical performance of four architectures was evaluated under refractive index perturbations consistent with values reported in prior theoretical and experimental studies. The sensor response was characterized through metrics such as angular sensitivity, resonance shift, full width at half maximum, attenuation, and derived figures including detection accuracy and limit of detection. Parametric optimization was performed for the thickness of each functional layer to enhance sensing performance. Among all configurations, those incorporating both Si<sub>3</sub>N<sub>4</sub> and BP demonstrated the highest angular sensitivity, reaching up to 394.46°/RIU. These enhancements were accompanied by increased attenuation and spectral broadening, revealing trade-offs in sensor design. The results, based entirely on numerical modeling, provide a comparative framework for guiding SPR sensor optimization under idealized optical conditions.

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Publication Details

Journal
Sensors
Published
2025-04-24
DOI
https://doi.org/10.3390/s25092685
Citations
5
Primary Topic
Plasmonic and Surface Plasmon Research
Type
article
Field-Weighted Citation Impact
3.37

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article

Advanced SPR-Based Biosensors for Potential Use in Cancer Detection: A Theoretical Approach

María Augusta Guadalupe Alcoser, Darío Fernando Guamán Lozada, Cristian Vacacela Gómez, Stefano Bellucci et al.
5 citations
Sensors
Plasmonic and Surface Plasmon Research
3.37
article

Advanced SPR-Based Biosensors for Potential Use in Cancer Detection: A Theoretical Approach

María Augusta Guadalupe Alcoser, Darío Fernando Guamán Lozada, Cristian Vacacela Gómez, Stefano Bellucci, Talía Tene, Lаla Gahramanli, Fabian Arias Arias
article en
5 citations

Abstract

This study presents a numerical investigation of surface plasmon resonance (SPR) sensors based on multilayer configurations incorporating BK7, silver, silicon nitride (Si<sub>3</sub>N<sub>4</sub>), and black phosphorus (BP). Using the transfer matrix method, the optical performance of four architectures was evaluated under refractive index perturbations consistent with values reported in prior theoretical and experimental studies. The sensor response was characterized through metrics such as angular sensitivity, resonance shift, full width at half maximum, attenuation, and derived figures including detection accuracy and limit of detection. Parametric optimization was performed for the thickness of each functional layer to enhance sensing performance. Among all configurations, those incorporating both Si<sub>3</sub>N<sub>4</sub> and BP demonstrated the highest angular sensitivity, reaching up to 394.46°/RIU. These enhancements were accompanied by increased attenuation and spectral broadening, revealing trade-offs in sensor design. The results, based entirely on numerical modeling, provide a comparative framework for guiding SPR sensor optimization under idealized optical conditions.

SensorsVol. 25(9)
Universidad Técnica Particular de Loja (EC), Baku State University (AZ), Escuela Superior Politécnica del Chimborazo (EC), Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati (IT), University of Calabria (IT)
Universidad Técnica Particular de Loja
Openalex Percentile: Top 8%
Plasmonic and Surface Plasmon Research
3.37
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