Robust and Highly Sensitive Fluorescence Approach for Point-of-Care Virus Detection Based on Immunomagnetic Separation

化学 链霉亲和素 生物素化 免疫磁选 检出限 色谱法 单克隆抗体 荧光 生物素 抗体 生物化学 量子力学 生物 物理 免疫学
作者
Wei Zhao,Wanpo Zhang,Zhiling Zhang,Ruili He,Yi Lin,Min Xie,Hanzhong Wang,Dai‐Wen Pang
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:84 (5): 2358-2365 被引量:76
标识
DOI:10.1021/ac203102u
摘要

In this work, robust approach for a highly sensitive point-of-care virus detection was established based on immunomagnetic nanobeads and fluorescent quantum dots (QDs). Taking advantage of immunomagnetic nanobeads functionalized with the monoclonal antibody (mAb) to the surface protein hemagglutinin (HA) of avian influenza virus (AIV) H9N2 subtype, H9N2 viruses were efficiently captured through antibody affinity binding, without pretreatment of samples. The capture kinetics could be fitted well with a first-order bimolecular reaction with a high capturing rate constant kf of 4.25 × 109 (mol/L)−1 s–1, which suggested that the viruses could be quickly captured by the well-dispersed and comparable-size immunomagnetic nanobeads. In order to improve the sensitivity, high-luminance QDs conjugated with streptavidin (QDs-SA) were introduced to this assay through the high affinity biotin-streptavidin system by using the biotinylated mAb in an immuno sandwich mode. We ensured the selective binding of QDs-SA to the available biotin-sites on biotinylated mAb and optimized the conditions to reduce the nonspecific adsorption of QDs-SA to get a limit of detection low up to 60 copies of viruses in 200 μL. This approach is robust for application at the point-of-care due to its very good specificity, precision, and reproducibility with an intra-assay variability of 1.35% and an interassay variability of 3.0%, as well as its high selectivity also demonstrated by analysis of synthetic biological samples with mashed tissues and feces. Moreover, this method has been validated through a double-blind trial with 30 throat swab samples with a coincidence of 96.7% with the expected results.
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