严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
肉眼
仿形(计算机编程)
2019年冠状病毒病(COVID-19)
计算生物学
微阵列
抗体
抗体微阵列
病毒学
生物
2019-20冠状病毒爆发
遗传学
基因
化学
计算机科学
医学
基因表达
色谱法
传染病(医学专业)
疾病
病理
爆发
检出限
操作系统
作者
Jingjie Nan,Chen Yuan,Weihong Sun,Ying Yue,Yuanyuan Che,Hongli Shan,Wei Xu,Bin Liu,Shoujun Zhu,Junhu Zhang,Bai Yang
出处
期刊:Nano Letters
[American Chemical Society]
日期:2023-12-04
卷期号:23 (23): 10892-10900
被引量:1
标识
DOI:10.1021/acs.nanolett.3c03139
摘要
Novel high-throughput protein detection technologies are critically needed for population-based large-scale SARS-CoV-2 antibody detection as well as for monitoring quality and duration of immunity against virus variants. Current protein microarray techniques rely heavily on labeled transduction methods that require sophisticated instruments and complex operations, limiting their clinical potential, particularly for point-of-care (POC) applications. Here, we developed a label-free and naked-eye readable microarray (NRM) based on a thickness-sensing plasmon ruler, enabling antibody profiling within 30 min. The NRM chips provide 100% accuracy for neutralizing antibody detection by efficiently screening antigen types and experimental conditions and allow for the profiling of antibodies against multiple SARS-CoV-2 variants in clinical samples. We further established a flexible "barcode" NRM assay with a simple tape-based operation, enabling an effective smartphone-based readout and analysis. These results demonstrate new strategies for high-throughput protein detection and highlight the potential of novel protein microarray techniques for realistic clinical applications.
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