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Surface plasmon resonance biosensors for SARS-CoV-2 sensing: The role of silicon nitride and graphene

Talía Tene, Diana Coello-Fiallos, Myrian Borja, Narcisa Sánchez, Fabián Londo, Cristian Vacacela Gómez, Stefano Bellucci

2025Biosensors and Bioelectronics X11 citationsDOIOpen Access PDF

Abstract

We present a systematic optimization and analysis of SPR biosensors, focusing on the influence of design parameters such as silver (Ag), silicon nitride (Si₃N₄), graphene, and ssDNA layer thicknesses. Two configurations, Sys₃ and Sys₅, were developed and numerically evaluated under varying SARS-CoV-2 concentrations in PBS solution, ranging from 0.01 nM to 100 nM. Sys₃, optimized with Ag at 55 nm, Si₃N₄ at 13 nm, and ssDNA at 10 nm, demonstrated exceptional sensitivity (371.7°/RIU), low limit of detection, and high detection accuracy, making it suitable for precision applications. In contrast, Sys₅, incorporating a graphene layer (0.34 nm) alongside Ag at 50 nm, Si₃N₄ at 10 nm, and ssDNA at 10 nm, exhibited superior robustness and a higher figure of merit (2287.2 RIU⁻ 1 ), offering consistent performance across a broader dynamic range. These results highlight the versatility of SPR biosensors in adapting to diverse diagnostic needs. • The SPR biosensors achieve sensitivities of 371.67°/RIU (Sys₃) and 177.93°/RIU (Sys₅), evidencing exceptional performance in detecting refractive index changes associated with SARS-CoV-2. • The detection accuracy reaches values of 14.14 × 10 −2 RIU⁻ 1 for Sys₃ and 7.34 × 10 −2 RIU⁻ 1 for Sys₅, highlighting the biosensors' ability to resolve variations effectively. • The quality factor achieves a peak of 93.4 RIU⁻ 1 for Sys 3 at 0.01 nM, demonstrating the sharpness and reliability of the resonance curve for precise diagnostics.

Topics & Concepts

Surface plasmon resonanceBiosensorGrapheneMaterials scienceNanotechnologySilicon nitrideOptoelectronicsSiliconPlasmonSurface plasmonNanoparticleSARS-CoV-2 detection and testingAdvanced biosensing and bioanalysis techniquesBiosensors and Analytical Detection