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用于寨卡病毒NS1的与智能手机集成的无流动自动比色检测法的开发。

Development of a Flow-Free Automated Colorimetric Detection Assay Integrated with Smartphone for Zika NS1.

作者信息

Kabir Md Alamgir, Zilouchian Hussein, Sher Mazhar, Asghar Waseem

机构信息

Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431, USA.

Asghar-Lab, Micro and Nanotechnology in Medicine, College of Engineering and Computer Science, Boca Raton, FL 33431, USA.

出版信息

Diagnostics (Basel). 2020 Jan 14;10(1):42. doi: 10.3390/diagnostics10010042.

Abstract

The Zika virus (ZIKV) is an emerging flavivirus transmitted to humans by mosquitoes that can potentially cause microcephaly, Guillain-Barré Syndrome, and other birth defects. Effective vaccines for Zika have not yet been developed. There is a necessity to establish an easily deployable, high-throughput, low-cost, and disposable point-of-care (POC) diagnostic platform for ZIKV infections. We report here an automated magnetic actuation platform suitable for a POC microfluidic sandwich enzyme-linked immunosorbent assay (ELISA) using antibody-coated superparamagnetic beads. The smartphone integrated immunoassay is developed for colorimetric detection of ZIKV nonstructural protein 1 (NS1) antigen using disposable chips to accommodate the reactions inside the chip in microliter volumes. An in-house-built magnetic actuator platform automatically moves the magnetic beads through different aqueous phases. The assay requires a total of 9 min to automatically control the post-capture washing, horseradish peroxidase (HRP) conjugated secondary antibody probing, washing again, and, finally, color development. By measuring the saturation intensity of the developed color from the smartphone captured video, the presented assay provides high sensitivity with a detection limit of 62.5 ng/mL in whole plasma. These results advocate a great promise that the platform would be useful for the POC diagnosis of Zika virus infection in patients and can be used in resource-limited settings.

摘要

寨卡病毒(ZIKV)是一种新出现的黄病毒,通过蚊子传播给人类,可能导致小头畸形、吉兰-巴雷综合征和其他出生缺陷。目前尚未开发出有效的寨卡疫苗。有必要建立一个易于部署、高通量、低成本且一次性使用的即时检测(POC)诊断平台,用于检测寨卡病毒感染。我们在此报告一种适用于POC微流控夹心酶联免疫吸附测定(ELISA)的自动化磁驱动平台,该平台使用抗体包被的超顺磁性微珠。开发了一种集成智能手机的免疫测定法,用于比色检测寨卡病毒非结构蛋白1(NS1)抗原,使用一次性芯片以微升体积容纳芯片内的反应。一个自制的磁驱动平台自动将磁珠移动通过不同的水相。该测定总共需要9分钟来自动控制捕获后洗涤、辣根过氧化物酶(HRP)偶联二抗探测、再次洗涤,最后显色。通过测量从智能手机拍摄的视频中显色的饱和强度,所展示的测定法具有高灵敏度,在全血浆中的检测限为62.5 ng/mL。这些结果表明该平台有望用于患者寨卡病毒感染的POC诊断,并可在资源有限的环境中使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/681d/7168132/23e61e892d5b/diagnostics-10-00042-g001.jpg

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