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从侧向流设备到新型纳米彩色微流控分析。

From lateral flow devices to a novel nano-color microfluidic assay.

机构信息

Attophotonics Biosciences GmbH, Viktor Kaplan Strasse 2, A-2700 Wiener Neustadt, Austria; E-Mails:

出版信息

Sensors (Basel). 2009;9(8):6084-100. doi: 10.3390/s90806084. Epub 2009 Jul 31.

Abstract

Improving the performance of traditional diagnostic lateral flow assays combined with new manufacturing technologies is a primary goal in the research and development plans of diagnostic companies. Taking into consideration the components of lateral flow diagnostic test kits; innovation can include modification of labels, materials and device design. In recent years, Resonance-Enhanced Absorption (REA) of metal nano-particles has shown excellent applicability in bio-sensing for the detection of a variety of bio-molecular binding interactions. In a novel approach, we have now integrated REA-assays in a diagnostic microfluidic setup thus resolving the bottleneck of long incubation times inherent in previously existing REA-assays and simultaneously integrated automated fabrication techniques for diagnostics manufacture. Due to the roller-coating based technology and chemical resistance, we used PET-co-polyester as a substrate and a CO(2) laser ablation system as a fast, highly precise and contactless alternative to classical micro-milling. It was possible to detect biological binding within three minutes - visible to the eye as colored text readout within the REA-fluidic device. A two-minute in-situ silver enhancement was able to enhance the resonant color additionally, if required.

摘要

提高传统诊断性侧向流动分析的性能,结合新的制造技术,是诊断公司研发计划的主要目标。考虑到侧向流动诊断试剂盒的组成部分;创新可以包括标签、材料和设备设计的改进。近年来,金属纳米粒子的共振增强吸收(REA)在生物传感检测各种生物分子结合相互作用方面显示出了极好的适用性。在一种新颖的方法中,我们现在将 REA 分析集成到诊断微流控装置中,从而解决了以前存在的 REA 分析中固有的长时间孵育时间的瓶颈问题,同时也集成了用于诊断制造的自动化制造技术。由于基于滚涂的技术和耐化学性,我们使用 PET 共聚酯作为基底,并使用 CO2 激光烧蚀系统作为快速、高精度和非接触式的替代传统微铣削的方法。可以在三分钟内检测到生物结合,在 REA 流体装置中可以看到肉眼可见的彩色文本读出。如果需要,还可以在原位进行两分钟的银增强,以增强共振颜色。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/06bb/3312431/db18f3f64ce6/sensors-09-06084f1.jpg

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