Collection mode surface plasmon fibre sensors: A new biosensing platform

Collection mode surface plasmon fibre sensors: A new biosensing platform
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DOI:
10.1016/j.bios.2010.12.018
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发表时间:
2011-03-15
影响因子:
12.6
通讯作者:
Monro, T. M.
Monro, T. M.
中科院分区:
工程技术1区
文献类型:
--
作者:
Francois, A.;Boehm, J.;Monro, T. M.

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基于表面等离子体共振(SPR)的传感器允许快速,无标签,高灵敏度的检测,事实上,这种现象是唯一可商用的无标签光学生物传感技术的基础。在这些传感器中,表面等离子体的存在是间接地从与光耦合到薄金属薄膜相对应的吸收特征推断出来的。虽然SPR本质上不是一个辐射过程,但当支持等离子体波的金属涂层表现出明显的表面粗糙度时,表面等离子体本身可以耦合到局部光子态并发光。本文表明,与传统的基于反射率的测量相比,使用镀银光纤,这种新型SPR换能器具有显著的优势,例如对金属厚度的依赖性较低,信噪比较高。此外,我们还展示了更复杂的传感器架构,其中多个传感区域分散在单个光纤上,可以实现传感信号的多路检测和动态自参考。此外,这种替代方法允许在同一设备内结合两种不同的传感技术,SPR和荧光传感,这在以前从未被证明过。作为潜在应用概念的初步证明,这种方法已用于证明季节性甲型流感病毒的检测。(C) 2010 Elsevier B.V.版权所有
Sensors based on surface plasmon resonance (SPR) allow rapid, label-free, highly sensitive detection, and indeed this phenomenon underpins the only label-free optical biosensing technology that is available commercially. In these sensors, the existence of surface plasmons is inferred indirectly from absorption features that correspond to the coupling of light into a thin metallic film. Although SPR is not intrinsically a radiative process, when the metallic coating which support the plasmonic wave exhibits a significant surface roughness, the surface plasmon can itself couple to the local photon states, and emit light. Here we show that using silver coated optical fibres, this novel SPR transducing mechanism offers significant advantages compare to traditional reflectance based measurements such as lower dependency on the metallic thickness and higher signal to noise ratio. Furthermore, we show that more complex sensor architectures with multiple sensing regions scattered along a single optical fibre enable multiplexed detection and dynamic self referencing of the sensing signal. Moreover, this alternative approach allows to combine two different sensing technologies, SPR and fluorescence sensing within the same device, which has never been demonstrated previously. As a preliminary proof of concept of potential application, this approach has been used to demonstrate the detection of the seasonal influenza A virus. (C) 2010 Elsevier B.V. All rights reserved.