• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

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.

DOI:10.3390/mi16020128
PMID:40047597
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11857482/
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/11857482/0e5c7c00036e/micromachines-16-00128-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/18029f21a4c6/micromachines-16-00128-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/91178b1105ad/micromachines-16-00128-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/a30f66555d73/micromachines-16-00128-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/2a87efd9d013/micromachines-16-00128-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/d88b6e0147c3/micromachines-16-00128-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/b8e34c59e28a/micromachines-16-00128-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/66d78443d317/micromachines-16-00128-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/d0f743148e18/micromachines-16-00128-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/0e5c7c00036e/micromachines-16-00128-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/18029f21a4c6/micromachines-16-00128-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/91178b1105ad/micromachines-16-00128-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/a30f66555d73/micromachines-16-00128-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/2a87efd9d013/micromachines-16-00128-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/d88b6e0147c3/micromachines-16-00128-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/b8e34c59e28a/micromachines-16-00128-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/66d78443d317/micromachines-16-00128-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/d0f743148e18/micromachines-16-00128-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/975c/11857482/0e5c7c00036e/micromachines-16-00128-g009.jpg

相似文献

1
WS/SiN-Based Biosensor for Low-Concentration Coronavirus Detection.用于低浓度冠状病毒检测的基于WS/SiN的生物传感器。
Micromachines (Basel). 2025 Jan 23;16(2):128. doi: 10.3390/mi16020128.
2
The Effect of MoS and SiN in Surface Plasmon Resonance Biosensors for HIV DNA Hybridization Detection: A Numerical Study.用于HIV DNA杂交检测的表面等离子体共振生物传感器中MoS和SiN的作用:一项数值研究。
Micromachines (Basel). 2025 Feb 28;16(3):295. doi: 10.3390/mi16030295.
3
SPR Biosensor Based on Bilayer MoS for SARS-CoV-2 Sensing.基于双层二硫化钼的表面等离子体共振生物传感器用于新冠病毒传感
Biosensors (Basel). 2025 Jan 4;15(1):21. doi: 10.3390/bios15010021.
4
Mathematical modeling of a MoSe₂-based SPR biosensor for detecting SARS-CoV-2 at nM concentrations.用于检测纳摩尔浓度新冠病毒的基于二硒化钼的表面等离子体共振生物传感器的数学建模
Front Bioeng Biotechnol. 2025 Feb 28;13:1547248. doi: 10.3389/fbioe.2025.1547248. eCollection 2025.
5
Design and Numerical Analysis of a Graphene-Coated SPR Biosensor for Rapid Detection of the Novel Coronavirus.基于 SPR 的新型冠状病毒快速检测石墨烯涂层生物传感器的设计与数值分析
Sensors (Basel). 2021 May 17;21(10):3491. doi: 10.3390/s21103491.
6
Silicon Nitride-BP-Based Surface Plasmon Resonance Highly Sensitive Biosensor for Virus SARS-CoV-2 Detection.用于检测新型冠状病毒(SARS-CoV-2)的基于氮化硅-黑磷的表面等离子体共振高灵敏度生物传感器
Plasmonics. 2022;17(3):1065-1077. doi: 10.1007/s11468-021-01589-1. Epub 2022 Jan 27.
7
Numerical Study of Titanium Dioxide and MXene Nanomaterial-Based Surface Plasmon Resonance Biosensor for Virus SARS-CoV-2 Detection.基于二氧化钛和MXene纳米材料的表面等离子体共振生物传感器用于检测病毒SARS-CoV-2的数值研究
Plasmonics. 2023 May 11:1-12. doi: 10.1007/s11468-023-01874-1.
8
A nanolayered structure for sensitive detection of hemoglobin concentration using surface plasmon resonance.一种用于通过表面等离子体共振灵敏检测血红蛋白浓度的纳米层结构。
Appl Phys A Mater Sci Process. 2021;127(11):832. doi: 10.1007/s00339-021-04985-w. Epub 2021 Oct 13.
9
Black Phosphorous-Based Surface Plasmon Resonance Biosensor for Malaria Diagnosis.用于疟疾诊断的基于黑磷的表面等离子体共振生物传感器
Sensors (Basel). 2025 Mar 26;25(7):2068. doi: 10.3390/s25072068.
10
A performance comparison of heterostructure surface plasmon resonance biosensor for the diagnosis of novel coronavirus SARS-CoV-2.用于诊断新型冠状病毒SARS-CoV-2的异质结构表面等离子体共振生物传感器的性能比较
Opt Quantum Electron. 2023;55(5):448. doi: 10.1007/s11082-023-04700-4. Epub 2023 Mar 25.

引用本文的文献

1
Numerical analysis of WS/SiN for improved SPR-based HIV DNA detection.用于改进基于表面等离子体共振的HIV DNA检测的WS/SiN数值分析
Front Bioeng Biotechnol. 2025 Jul 17;13:1577925. doi: 10.3389/fbioe.2025.1577925. eCollection 2025.
2
The Effect of MoS and SiN in Surface Plasmon Resonance Biosensors for HIV DNA Hybridization Detection: A Numerical Study.用于HIV DNA杂交检测的表面等离子体共振生物传感器中MoS和SiN的作用:一项数值研究。
Micromachines (Basel). 2025 Feb 28;16(3):295. doi: 10.3390/mi16030295.
3
Mathematical modeling of a MoSe₂-based SPR biosensor for detecting SARS-CoV-2 at nM concentrations.

本文引用的文献

1
Architects of infection: A structural overview of SARS-related coronavirus spike glycoproteins.感染的构建者:严重急性呼吸综合征相关冠状病毒刺突糖蛋白的结构概述
Virology. 2025 Mar;604:110383. doi: 10.1016/j.virol.2024.110383. Epub 2025 Jan 6.
2
An Update on Anti-COVID-19 Vaccines and the Challenges to Protect Against New SARS-CoV-2 Variants.抗新冠病毒疫苗最新情况及防范新型严重急性呼吸综合征冠状病毒2变种的挑战
Pathogens. 2025 Jan 1;14(1):23. doi: 10.3390/pathogens14010023.
3
SPR Biosensor Based on Bilayer MoS for SARS-CoV-2 Sensing.基于双层二硫化钼的表面等离子体共振生物传感器用于新冠病毒传感
用于检测纳摩尔浓度新冠病毒的基于二硒化钼的表面等离子体共振生物传感器的数学建模
Front Bioeng Biotechnol. 2025 Feb 28;13:1547248. doi: 10.3389/fbioe.2025.1547248. eCollection 2025.
Biosensors (Basel). 2025 Jan 4;15(1):21. doi: 10.3390/bios15010021.
4
SARS-CoV-2 pathophysiology and post-vaccination severity: a systematic review.严重急性呼吸综合征冠状病毒2的病理生理学与疫苗接种后的严重程度:一项系统综述
Immunol Res. 2024 Dec 18;73(1):17. doi: 10.1007/s12026-024-09553-x.
5
The Tunable Parameters of Graphene-Based Biosensors.基于石墨烯的生物传感器的可调参数。
Sensors (Basel). 2024 Aug 4;24(15):5049. doi: 10.3390/s24155049.
6
Applications of SARS-CoV-2 serological testing: impact of test performance, sample matrices, and patient characteristics.严重急性呼吸综合征冠状病毒2(SARS-CoV-2)血清学检测的应用:检测性能、样本基质和患者特征的影响
Crit Rev Clin Lab Sci. 2024 Jan;61(1):70-88. doi: 10.1080/10408363.2023.2254390. Epub 2024 Jan 5.
7
A performance comparison of heterostructure surface plasmon resonance biosensor for the diagnosis of novel coronavirus SARS-CoV-2.用于诊断新型冠状病毒SARS-CoV-2的异质结构表面等离子体共振生物传感器的性能比较
Opt Quantum Electron. 2023;55(5):448. doi: 10.1007/s11082-023-04700-4. Epub 2023 Mar 25.
8
Performance of point-of care molecular and antigen-based tests for SARS-CoV-2: a living systematic review and meta-analysis.即时检测 SARS-CoV-2 的分子和抗原检测的性能:一项实时系统评价和荟萃分析。
Clin Microbiol Infect. 2023 Mar;29(3):291-301. doi: 10.1016/j.cmi.2022.10.028. Epub 2022 Nov 3.
9
Silicon Nitride-BP-Based Surface Plasmon Resonance Highly Sensitive Biosensor for Virus SARS-CoV-2 Detection.用于检测新型冠状病毒(SARS-CoV-2)的基于氮化硅-黑磷的表面等离子体共振高灵敏度生物传感器
Plasmonics. 2022;17(3):1065-1077. doi: 10.1007/s11468-021-01589-1. Epub 2022 Jan 27.
10
Modeling of High-Performance SPR Refractive Index Sensor Employing Novel 2D Materials for Detection of Malaria Pathogens.基于新型二维材料的高性能 SPR 折射率传感器建模及其对疟疾病原体的检测。
IEEE Trans Nanobioscience. 2022 Apr;21(2):312-319. doi: 10.1109/TNB.2021.3115906. Epub 2022 Mar 31.