生物传感器
免疫分析
单克隆抗体
表面等离子共振
生物分子
纳米技术
纳米医学
等离子体子
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
2019年冠状病毒病(COVID-19)
化学
材料科学
计算生物学
纳米颗粒
抗体
生物
光电子学
医学
遗传学
病理
传染病(医学专业)
疾病
作者
Fajun Li,Junping Hong,Chaoheng Guan,Kaiyun Chen,Yinong Xie,Qian Wu,Junjie Chen,Baichang Deng,Jiaqing Shen,Xueying Liu,Rongsheng Hu,Yulong Zhang,Yixin Chen,Jinfeng Zhu
出处
期刊:ACS Nano
[American Chemical Society]
日期:2023-01-11
卷期号:17 (4): 3383-3393
被引量:23
标识
DOI:10.1021/acsnano.2c08153
摘要
Plasmonic metasurfaces (PMs) functionalized with the monoclonal antibody (mAb) are promising biophotonic sensors for biomolecular interaction analysis and convenient immunoassay of various biomarkers, such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants. Previous PM biosensing suffers from the slow affinity detection rate and lack of sufficient immunoassay studies on various SARS-CoV-2 variants. Here, we develop a high-efficiency affinity testing method based on label-free PM sensors with mAbs and demonstrate their binding characteristics to 12 spike receptor binding domain (RBD) variants of SARS-CoV-2. In addition to the research of plasmonic near-field influence on surface biomolecule sensing, we provide a comprehensive report about the Langmuir binding equilibrium of molecular kinetics between 12 SARS-CoV-2 RBD variants and mAb-functionalized PMs, which plays a crucial role in label-free immunosensing. A high-affinity mAb can be combined with the highly sensitive propagating plasmonic mode to boost the detection of SARS-CoV-2 variants. Owing to a better understanding of molecular dynamics on PMs, we develop an ultrasensitive biosensor of the SARS-CoV-2 Omicron variant. The experiments show great distinguishment of P < 0.0001 from respiratory diseases induced by other viruses, and the limit of detection is 2 orders smaller than the commercial colloidal gold immunoassay. Our study shows the label-free biosensing by low-cost wafer-scale PMs, which will provide essential information on biomolecular interaction and facilitate high-precision point-of-care testing for emerging SARS-CoV-2 variants in the future.
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