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基于层层膜中金属纳米粒子的 LSPR 的用于过氧化氢检测的自参考光纤传感器。

Self-Referenced Optical Fiber Sensor for Hydrogen Peroxide Detection based on LSPR of Metallic Nanoparticles in Layer-by-Layer Films.

机构信息

Department of Electrical and Electronic Engineering, Nanostructured Optical Devices Laboratory, Public University of Navarre, Campus Arrosadía S/N, 31006 Pamplona, Spain.

Institute of Smart Cities (ISC), Public University of Navarre, Campus Arrosadía S/N, 31006 Pamplona, Spain.

出版信息

Sensors (Basel). 2019 Sep 7;19(18):3872. doi: 10.3390/s19183872.

Abstract

Intensity-based optical fiber sensors are one of the most studied sensor approaches thanks to their simplicity and low cost. Nevertheless, their main issue is their lack of robustness since any light source fluctuation, or unexpected optical setup variation is directly transferred to the output signal, which, significantly reduces their reliability. In this work, a simple and robust hydrogen peroxide (HO) optical fiber sensor is proposed based on the Localized Surface Plasmon Resonance (LSPR) sensitivity of silver and gold metallic nanoparticles. The precise and robust detection of HO concentrations in the ppm range is very interesting for the scientific community, as it is a pathological precursor in a wide variety of damage mechanisms where its presence can be used to diagnose important diseases such as Parkinson's disease, diabetes, asthma, or even Alzheimer's disease). In this work, the sensing principle is based the oxidation of the silver nanoparticles due the action of the hydrogen peroxide, and consequently the reduction of the efficiency of the plasmonic coupling. At the same time, gold nanoparticles show a high chemical stability, and therefore provide a stable LSPR absorption band. This provides a stable real-time reference that can be extracted from the spectral response of the optical fiber sensor, giving a reliable reading of the hydrogen peroxide concentration.

摘要

基于强度的光纤传感器是研究最多的传感器方法之一,因为它们简单且成本低。然而,它们的主要问题是缺乏鲁棒性,因为任何光源波动或意外的光学设置变化都会直接传递到输出信号,这大大降低了它们的可靠性。在这项工作中,提出了一种基于银和金纳米金属粒子的局域表面等离子体共振(LSPR)灵敏度的简单而稳健的过氧化氢(HO)光纤传感器。HO 浓度在 ppm 范围内的精确和稳健检测对科学界非常有意义,因为它是多种损伤机制中的病理前体,其存在可用于诊断帕金森病、糖尿病、哮喘甚至老年痴呆症等重要疾病。在这项工作中,传感原理基于过氧化氢作用下银纳米粒子的氧化,因此降低了等离子体耦合的效率。同时,金纳米粒子表现出很高的化学稳定性,因此提供了一个稳定的 LSPR 吸收带。这提供了一个稳定的实时参考,可以从光纤传感器的光谱响应中提取出来,为过氧化氢浓度提供可靠的读数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/65d0/6767183/b649c6fd3846/sensors-19-03872-g001.jpg

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