2019年冠状病毒病(COVID-19)
材料科学
检出限
纳米技术
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
计算机科学
判别式
冠状病毒
可靠性(半导体)
2019-20冠状病毒爆发
计算生物学
灵敏度(控制系统)
传染病(医学专业)
病毒学
胶体金
免疫分析
抗体
作者
Eunji Jeong,Seo Yeong Oh,Seong Uk Son,Sojeong Lee,Ryunhyung Kim,Eun‐Kyung Lim,Sun‐Joo Kim,Taejoon Kang,Juyeon Jung,Seung‐Yong Seong,Inyoung Jang,Jong‐Hyun Kim,Eun Hee Jang,Hyoung Hwa Jeong,Eun‐Kyung Lim,Seungjoo Haam
出处
期刊:Nanoscale
[Royal Society of Chemistry]
日期:2025-01-01
卷期号:17 (40): 23329-23342
被引量:5
摘要
= 0.9874) compared to existing antibody-based rapid tests, achieving results within 15 minutes and demonstrating strong discriminative power for clinical samples. Moreover, our nb-GNPs-based strip demonstrated high specificity, distinguishing COVID-19 from other respiratory viruses with similar symptoms. Our nanobody-based LFIA exhibited excellent sensitivity and accuracy without the need for additional reagents or target amplification steps. This LFIA approach can serve as an effective alternative to conventional antibody-based LFIAs and play a crucial role in ongoing SARS-CoV-2 surveillance and preparedness for future pandemics.
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