| 光纤SPR传感器的信号检测及处理 |
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| 引用本文： | 郑妍,邢砾云,常天英,王敏,孙玉锋,崔洪亮,刘野,赵越.光纤SPR传感器的信号检测及处理[J].红外与激光工程,2015,44(6):1865-1871. |
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| 作者姓名： | 郑妍 邢砾云 常天英 王敏 孙玉锋 崔洪亮 刘野 赵越 |
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| 作者单位： | 1.吉林大学 仪器科学与电气工程学院,吉林 长春 130021; |
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| 基金项目： | 国家科技支撑计划项目(2012BAK04B03)；海洋公益性行业科研专项(201405026-04)；重庆市科委基础研究计划重大项目 |
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| 摘 要： | 光纤表面等离子体共振(SPR)传感器是目前应用在环境介质检测和生物大分子检测等方面的新型、高精度传感器。首先,以表面等离子体共振传感理论为基础,对系统检测结果进行数据处理,得出采用均值估计的线性模型。在不同时刻与相同环境介质下,检测某一溶液的十组光谱数据并进行均值估计,从而得到有效的共振波长。其次,利用小波分析方法进行信号处理,校正了噪声产生的漂移,对光谱信号压缩处理,以提高检测精度。再通过Matlab进行模拟仿真优化传感系统性能。并对不同折射率溶液如蒸馏水、酒精等进行检测,得到了良好的光谱响应曲线,证明了在检测范围内折射率和共振波长之间具有良好的线性关系。
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| 关 键 词： | 表面等离子体共振 光纤表面等离子体共振传感器 小波去噪 |
| 收稿时间： | 2014-10-05 |
Signal detection of an optical fiber surface plasmon resonance sensor |
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| Zheng Yan,Xing Liyun,Chang Tianying,Wang Min,Sun Yufeng,Cui Hongliang,Liu Ye,Zhao Yue.Signal detection of an optical fiber surface plasmon resonance sensor[J].Infrared and Laser Engineering,2015,44(6):1865-1871. |
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| Authors: | Zheng Yan Xing Liyun Chang Tianying Wang Min Sun Yufeng Cui Hongliang Liu Ye Zhao Yue |
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| Affiliation: | 1.College of Instrumentation & Electrical Engineering,Jilin University,Changchun 130021,China;2.College of Electrical and Information Engineering,Beihua University,Jilin 132013,China |
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| Abstract: | The optical fiber surface plasmon resonance (SPR) sensor is an advanced and high-precision sensor, used mainly in environmental pollution detection and detection of biopolymers. Firstly, based on the plasmon resonce sensing theory, the estimate of meaning linear model was obtained by a discussion of our experimental results and the system's data-processing issue. Then, based on the estimate of meaning linear model, a number of groups of a solutions were measured at different times and under the same circumstances and their spectral data was obtained, leading to the estimate of the effective resonance wavelength. Secondly, a wavelet analysis for the SPR reflected spectrum is carried out. The deviation of the resonant wavelength caused by noise was corrected, and the experimental data was filtered by a wavelet analysis, improving the system precision. Parameters impacting the fiber-optic SPR sensor performance were analyzed by theoretical calculation and simulation used Matlab, to optimize the sensing system design. Differences of the refractive index of test solutions such as distilled water, alcohol, etc, have been measured. Our design of the optical fiber SPR sensing systems was proved to be feasible and worked well. The result shows the relationship between the refractive index and SPR wavelength that is well linear within the measurable refractive index range. |
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| Keywords: | surface plasmon resonance optical fiber SPR sensor wavelet denoising |
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