Optical fiber humidity sensors based on Localized Surface Plasmon Resonance (LSPR) and Lossy-mode resonance (LMR) in overlays loaded with silver nanoparticles

Optical fiber humidity sensors based on Localized Surface Plasmon Resonance (LSPR) and Lossy-mode resonance (LMR) in overlays loaded with silver nanoparticles
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DOI:
10.1016/j.snb.2012.07.010
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发表时间:
2012-10-01
影响因子:
8.4
通讯作者:
Arregui, F. J.
Arregui, F. J.
中科院分区:
化学1区
文献类型:
--
作者:
Rivero, Pedro J.;Urrutia, A.;Arregui, F. J.

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在这项工作中,首次提出了一种基于损耗模共振(LMR)和局域表面等离子体共振(LSPR)的新型光纤湿度传感器的制造和表征。这些共振是通过层接层(LbL)聚合物涂层加载银纳米粒子(Ag NPs)并制造到光纤芯上产生的。首先,观察到涂层中存在银纳米粒子所固有的LSPR衰减带。LSPR波段的强度随相对湿度(RH)的变化有轻微的变化,但没有明显的波长依赖性。另外,随着涂层厚度的增加,在400 ~ 1100 nm光谱范围内出现了多条LMR衰减带。LMR最大值强烈依赖于LbL覆盖层的厚度和折射率,因此,它们对相对湿度(RH)变化表现出强烈的波长响应。实现了一种基于波长的光学湿度传感器,并对其动态范围(42.4 nm)、传递函数和响应时间(上升/下降分别为476 ms和447 ms)进行了表征。结果证实,这种传感器甚至可以用于监测人类的呼吸。(C) 2012 Elsevier B.V.版权所有
In this work, it is presented for the first time the fabrication and characterization of a novel optical fiber humidity sensor based on both Lossy-mode resonance (LMR) and Localized Surface Plasmon Resonance (LSPR). Those resonances were created using Layer-by-Layer (LbL) polymeric coating loaded with Ag nanoparticles (Ag NPs) and fabricated onto an optical fiber core. Firstly, it was observed a LSPR attenuation band, inherent to the presence of the Ag NPs in the coating. This LSPR band showed a slight intensity variation with Relative Humidity (RH) changes but no significant wavelength dependence was observed. Otherwise several LMR attenuation bands were observed in the 400-1100 nm spectral range as the thickness coating was increased. The LMR maxima depend strongly on the thickness and refractive index of the LbL overlay, and therefore, they show a strong wavelength response to Relative Humidity (RH) changes. A wavelength-based optical humidity sensor was achieved and the dynamic range (42.4 nm), transfer function, response time (476 ms and 447 ms for rise/fall respectively) were characterized. The results confirm that this sensor could be used even for monitoring human breathing. (C) 2012 Elsevier B.V. All rights reserved.