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Integrated Single Microbead-Arrayed μ-Fluidic Platform for the Automated Detection of Multiplexed Biomarkers.
ACS Sensors ( IF 8.2 ) Pub Date : 2020-02-24 , DOI: 10.1021/acssensors.9b02450
Hui Tian 1 , Wenhan Zhao 1 , Xiaolong Liu 2 , Chenghui Liu 3 , Niancai Peng 1
Affiliation  

An automated, single microbead-arrayed μ-fluidic immunoassay (AMIA) device is innovatively devised in this study, which enables the highly sensitive and simultaneous detection of multiplex biomarkers with fully automatic operations. The AMIA platform not only achieves automated assay processing and multiplexed target detection by integrating single microbead manipulation, sample loading, multistep washing, and immunoreaction on a microfluidic chip but also confers high sensitivity due to the highly efficient signal enriching effect on a single microbead by the use of only a routine sandwich immunoreaction. As such, as low as the pg/mL level of multiplexed protein biomarkers can be simultaneously determined in a quite small volume of serum (∼20 μL is enough), which can well meet the clinical demand for disease screening and prognosis. What is more, the detection results of several clinically important biomarkers in clinical samples with the AMIA platform exhibit excellent consistency with those obtained by using a standard clinical test. Thus, in virtue of the excellent features in terms of high sensitivity, multiplexing capability, generality, and high degree of automation, the AMIA provides a practical and user-friendly platform for assaying different biomarkers in clinical diagnostics and point-of-care testing.

中文翻译:

集成的单个微珠阵列μ流体平台,可自动检测多重生物标志物。

本研究创新性地设计了一种自动化的单微珠阵列微流体免疫测定(AMIA)设备,该设备可通过全自动操作高度灵敏地同时检测多种生物标志物。AMIA平台不仅通过在微流体芯片上集成单个微珠操作,样品加载,多步洗涤和免疫反应来实现自动化的测定处理和多重目标检测,而且由于高效率的信号在单个微珠上的信号富集作用而赋予了高灵敏度。仅使用常规的夹心免疫反应。因此,可以在非常小的血清中同时测定低至pg / mL的多重蛋白质生物标志物水平(约20μL就足够了),这可以很好地满足疾病筛查和预后的临床需求。更,使用AMIA平台在临床样品中几种具有临床意义的生物标志物的检测结果与使用标准临床测试获得的结果具有极好的一致性。因此,凭借在高灵敏度,多路复用能力,通用性和高度自动化方面的出色功能,AMIA提供了一种实用且用户友好的平台,可用于在临床诊断和即时检验中测定不同的生物标志物。
更新日期:2020-02-12
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