免疫分析
化学
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
注意事项
2019年冠状病毒病(COVID-19)
2019-20冠状病毒爆发
病毒学
Sars病毒
检测点注意事项
色谱法
抗体
传染病(医学专业)
免疫学
医学
内科学
病理
爆发
疾病
生物
作者
Ruijin Zeng,Minghao Qiu,Qing Wan,Zhisheng Huang,Xiaolong Liu,Dianping Tang,Dietmar Knopp
出处
期刊:Analytical Chemistry
[American Chemical Society]
日期:2022-10-17
卷期号:94 (43): 15155-15161
被引量:316
标识
DOI:10.1021/acs.analchem.2c03606
摘要
Large-scale, rapid, and inexpensive serological diagnoses of severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) are of great interest in reducing virus transmission at the population level; however, their development is greatly plagued by the lack of available point-of-care methods, leading to low detection efficiency. Herein, an ultrasensitive smartphone-based electrochemical immunoassay is reported for rapid (less than 5 min), low-cost, easy-to-implement detection of the SARS-CoV-2 nucleocapsid protein (SARS-CoV-2 N protein). Specifically, the electrochemical immunoassay was fabricated on a screen-printed carbon electrode coated with electrodeposited gold nanoparticles, followed by incubation of anti-N antibody (Ab) and bovine serum albumin as the working electrode. Accompanied by the antigen-antibody reaction between the SARS-CoV-2 N protein and the Ab, the electron transfer between the electroactive species [Fe(CN)6]3-/4- and the electrode surface is disturbed, resulting in reduced square-wave voltammetry currents at 0.075 V versus the Ag/AgCl reference electrode. The proposed immunoassay provided a good linear range with SARS-CoV-2 N protein concentrations within the scope of 0.01-1000 ng/mL (R2 = 0.9992) and the limit of detection down to 2.6 pg/mL. Moreover, the detection data are wirelessly transmitted to the interface of the smartphone, and the corresponding SARS-CoV-2 N protein concentration value is calculated and displayed. Therefore, the proposed portable detection mode offers great potential for self-differential diagnosis of residents, which will greatly facilitate the effective control and large-scale screening of virus transmission in resource-limited areas.
科研通智能强力驱动
Strongly Powered by AbleSci AI