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基于集成声学平台的多种心脏标志物检测用于心血管风险评估。

Detection of multiple cardiac markers with an integrated acoustic platform for cardiovascular risk assessment.

机构信息

Institute of Molecular Biology & Biotechnology, Foundation for Research & Technology Hellas, Heraklion Crete, Greece.

出版信息

Anal Chim Acta. 2011 Aug 5;699(1):1-5. doi: 10.1016/j.aca.2011.05.016. Epub 2011 May 19.

Abstract

This work describes the application of a newly emerged biosensing configuration incorporating a Surface Acoustic Wave device integrated with a multi-channel microfluidic module for the rapid and efficient analysis of cardiac markers. The examined cardiac markers of creatine kinase MB (CK-MB), cardiac reactive protein (CRP), D-dimer and pregnancy-associated plasma protein A (PAPP-A), comprise a group of both established and emerging heart disease proteins, that has never been probed before with any kind of biochip-related platform. The four markers were successfully detected; kinetics and affinity studies on their interactions with the surface immobilized antibodies are also presented. A concentration detection limit of less than 1 nM was achieved, with a dynamic range of more than two orders of magnitude, covering some of the pathological and healthy areas of interest. Mixtures of biomarkers applied to the device surface were used to prove the specificity of each binding event and investigate the microsystem's performance in the presence of complex fluids, towards future utilization with real samples. The simplicity and multiplexing ability of the integrated platform render the system ideal as a potential diagnostic tool for cardiovascular risk assessment, where simultaneous analysis of various protein markers is required.

摘要

本工作描述了一种新出现的生物传感配置的应用,该配置结合了表面声波器件和多通道微流控模块,用于快速有效地分析心脏标志物。所检查的心脏标志物肌酸激酶 MB(CK-MB)、心脏反应蛋白(CRP)、D-二聚体和妊娠相关血浆蛋白 A(PAPP-A),由一组已建立和新兴的心脏病蛋白组成,以前从未用任何生物芯片相关平台进行过探测。成功检测到了这四个标志物;还提出了它们与表面固定化抗体相互作用的动力学和亲和力研究。实现了低于 1 nM 的浓度检测极限,动态范围超过两个数量级,涵盖了一些感兴趣的病理和健康区域。应用于器件表面的生物标志物混合物用于证明每个结合事件的特异性,并研究微系统在复杂流体存在下的性能,以用于未来与真实样品的使用。集成平台的简单性和多路复用能力使该系统成为心血管风险评估的潜在诊断工具的理想选择,在心血管风险评估中需要同时分析各种蛋白质标志物。

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