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用于低浓度冠状病毒检测的基于WS/SiN的生物传感器。

WS/SiN-Based Biosensor for Low-Concentration Coronavirus Detection.

作者信息

Tene Talia, Arias Arias Fabian, Paredes-Páliz Karina I, Cunachi Pillajo Ana M, Flores Huilcapi Ana Gabriela, Carrera Almendariz Luis Santiago, Bellucci Stefano

机构信息

Department of Chemistry, Universidad Técnica Particular de Loja, Loja 110160, Ecuador.

Dipartimento di Chimica e Tecnologie Chimiche, University of Calabria, Via P. Bucci, Cubo 15D, 87036 Rende, Italy.

出版信息

Micromachines (Basel). 2025 Jan 23;16(2):128. doi: 10.3390/mi16020128.

Abstract

This study presents the optimization of two SPR biosensors, Sys and Sys, for SARS-CoV-2 detection at concentrations of 0.01-100 nM. Sys, with a 55 nm silver layer, a 13 nm silicon nitride layer, and a 10 nm ssDNA layer, achieved a figure of merit (FoM) of 571.24 RIU, a signal-to-noise ratio (SNR) of 0.12, and a detection accuracy (DA) of 48.93 × 10. Sys, incorporating a 50 nm silver layer, a 10 nm silicon nitride layer, a 10 nm ssDNA layer, and a 1.6 nm tungsten disulfide layer (L = 2), demonstrated a higher sensitivity of 305.33 °/RIU and a lower limit of detection (LoD) of 1.65 × 10. Sys outshined in precision with low attenuation (<1%), while Sys provided enhanced sensitivity and lower detection limits, crucial for early-stage viral detection. These configurations align with the refractive index ranges of clinical SARS-CoV-2 samples, showcasing their diagnostic potential. Future work will focus on experimental validation and integration into point-of-care platforms.

摘要

本研究展示了两种表面等离子体共振(SPR)生物传感器Sys和Sys在0.01 - 100 nM浓度下对严重急性呼吸综合征冠状病毒2(SARS-CoV-2)检测的优化。Sys具有55 nm的银层、13 nm的氮化硅层和10 nm的单链DNA(ssDNA)层,品质因数(FoM)为571.24 RIU,信噪比(SNR)为0.12,检测准确率(DA)为48.93×10。Sys包含50 nm的银层、10 nm的氮化硅层、10 nm的ssDNA层和1.6 nm的二硫化钨层(L = 2),显示出更高的灵敏度,为305.33°/RIU,检测下限(LoD)为1.65×10。Sys在精度方面表现出色,衰减低(<1%),而Sys具有更高的灵敏度和更低的检测限,这对病毒早期检测至关重要。这些配置与临床SARS-CoV-2样本的折射率范围相符,展示了它们的诊断潜力。未来的工作将集中在实验验证以及集成到即时护理平台上。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/18029f21a4c6/micromachines-16-00128-g001.jpg

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