Microelectrical sensors as emerging platforms for protein biomarker detection in point-of-care diagnostics.

Microelectrical sensors as emerging platforms for protein biomarker detection in point-of-care diagnostics.
复制标题

DOI:
10.1586/erm.09.47
复制
发表时间:
2009-10
影响因子:
5.1
通讯作者:
Liu BC
Liu BC
中科院分区:
医学3区
文献类型:
--
作者:
Arruda DL;Wilson WC;Nguyen C;Yao QW;Caiazzo RJ;Talpasanu I;Dow DE;Liu BC

文献摘要

参考文献

被引文献

相似文献

目前用于测量微阵列上的蛋白质表达的方法,例如标记的荧光成像,不太适合在护理点进行实时诊断测量。研究表明,利用硅纳米线,阻抗,表面声波,磁性纳米颗粒和微天线技术的微电子传感器有可能通过提供与传统传感技术相媲美的传感特性来影响疾病诊断。它们将蛋白质结合事件转化为电信号的能力可能对开发下一代分子诊断的即时设备至关重要,在那里它们可以很容易地与微阵列,微流体和遥测技术集成。然而,与微电子传感器相关的常见限制,包括传感器制造和灵敏度的问题,必须首先解决。这篇综述描述了管理技术概念,并提供了一些例子,展示了各种微电子传感器在疾病诊断中的使用,通过蛋白质生物标志物。
Current methods used to measure protein expression on microarrays, such as labeled fluorescent imaging, are not well suited for real-time, diagnostic measurements at the point of care. Studies have shown that microelectrical sensors utilizing silica nanowire, impedimetric, surface acoustic wave, magnetic nanoparticle and microantenna technologies have the potential to impact disease diagnosis by offering sensing characteristics that rival conventional sensing techniques. Their ability to transduce protein binding events into electrical signals may prove essential for the development of next-generation point-of-care devices for molecular diagnostics, where they could be easily integrated with microarray, microfluidic and telemetry technologies. However, common limitations associated with the microelectrical sensors, including problems with sensor fabrication and sensitivity, must first be resolved. This review describes governing technical concepts and provides examples demonstrating the use of various microelectrical sensors in the diagnosis of disease via protein biomarkers.
DOI: 10.1021/ac070895z
发表时间: 2007-10-15
影响因子: 7.4
作者:
Maraldo, David;Garcia, Fernando U.;Mutharasan, Raj
通讯作者: Mutharasan, Raj
DOI: 10.1021/ac801394d
发表时间: 2008-12-15
影响因子: 7.4
作者:
Barton, Andrew C.;Davis, Frank;Higson, Seamus P. J.
通讯作者: Higson, Seamus P. J.
DOI: 10.1021/ac069419j
发表时间: 2006-07-01
影响因子: 7.4
作者:
Patolsky, Fernando;Zheng, Gengfeng;Lieber, Charles M.
通讯作者: Lieber, Charles M.
DOI: 10.1021/ac9000833
发表时间: 2009-04-15
影响因子: 7.4
作者:
Koo, Ok Kyung;Liu, YiShao;Bhunia, Arun K.
通讯作者: Bhunia, Arun K.