Microfluidic Digital Immunoassay for Point-of-Care Detection of NT-proBNP from Whole Blood

检出限 注意事项 免疫分析 化学 生物素化 全血 微流控 链霉亲和素 色谱法 校准曲线 线性范围 生物医学工程 纳米技术 抗体 内科学 材料科学 免疫学 医学 生物素 病理 生物化学
作者
C.-H. Chen,Ryan M. Porter,Xiaoyan Zhou,Christine L.H. Snozek,Eric H. Yang,Shaopeng Wang
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:96 (26): 10569-10576 被引量:13
标识
DOI:10.1021/acs.analchem.4c01046
摘要

The high prevalence and economic burden of heart failure remain a challenge to global health. This lifelong disease leads to a buildup of permanent heart damage, making early detection and frequent monitoring crucial for effective treatment. N-terminal proBNP (NT-proBNP) is an important biomarker for monitoring the disease state, but current commercial and research NT-proBNP assays require phlebotomy and bulky equipment or do not satisfy clinical requirements such as sensitivity and detection thresholds. Here, we report a point-of-care (POC) compatible microfluidic digital immunoassay that can quantify the NT-proBNP concentration in a small volume of whole blood. Our automated microfluidic device takes whole blood samples mixed with biotinylated detection antibodies and passes through a plasma filter to react with a capture antibody-functionalized sensor surface. Streptavidin-coated gold nanoparticles (GNPs) are then released to mark the surface-bound single NT-proBNP immunocomplexes and recorded with bright-field microscopy. NT-proBNP concentrations in the sample are quantified via a hybrid digital/analog calibration curve. Digital counts of bound GNPs are used as readout signal at low concentrations for high sensitivity detection, and GNP pixel occupancies are used at high concentrations for extended dynamic range. With this approach, we detected NT-proBNP in the range of 8.24-10 000 pg/mL from 7 μL of whole blood in 10 min, with a limit of detection of 0.94 pg/mL. Finally, the method was validated with 15 clinical serum samples, showing excellent linear correlation (r = 0.998) with Roche's Elecsys proBNP II assay. This evidence indicates that this method holds promise for decentralized monitoring of heart failure.
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