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使用竞争结合分析的冲击电化学的原型数字横向流动传感器。

Prototype Digital Lateral Flow Sensor Using Impact Electrochemistry in a Competitive Binding Assay.

机构信息

Neuroelectronics - Munich Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, Technical University of Munich, Boltzmannstrasse 11, 85748 Garching, Germany.

Institute of Biological Information Processing, Bioelectronics (IBI-3), Forschungszentrum Jülich, 52425 Jülich, Germany.

出版信息

ACS Sens. 2022 Jul 22;7(7):1967-1976. doi: 10.1021/acssensors.2c00728. Epub 2022 Jul 8.

DOI:10.1021/acssensors.2c00728
PMID:35801574
Abstract

This work demonstrates a lateral flow assay concept on the basis of stochastic-impact electrochemistry. To this end, we first elucidate requirements to employ silver nanoparticles as redox-active labels. Then, we present a prototype that utilizes nanoimpacts from biotinylated silver nanoparticles as readouts to detect free biotin in solution based on competitive binding. The detection is performed in a membrane-based microfluidic system, where free biotin and biotinylated particles compete for streptavidin immobilized on embedded latex beads. Excess nanoparticles are then registered downstream at an array of detection electrodes. In this way, we establish a proof of concept that serves as a blueprint for future "digital" lateral flow sensors.

摘要

这项工作基于随机碰撞电化学展示了一种侧向流动分析的概念。为此,我们首先阐明了使用银纳米粒子作为氧化还原活性标记物的要求。然后,我们提出了一个原型,利用生物素化银纳米粒子的纳米撞击作为读出信号来检测溶液中游离的生物素,这是基于竞争结合的原理。检测是在基于膜的微流控系统中进行的,其中游离生物素和生物素化的粒子与固定在嵌入乳胶珠上的链霉亲和素竞争。然后,过量的纳米粒子在下游的一系列检测电极处被记录下来。通过这种方式,我们建立了一个概念验证,为未来的“数字”侧向流动传感器提供了蓝图。

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