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基于光纤SPR光谱分析的水质矿化度检测研究
引用本文:冯李航,曾捷,梁大开,刘宏月. 基于光纤SPR光谱分析的水质矿化度检测研究[J]. 光谱学与光谱分析, 2012, 32(11): 2929-2934. DOI: 10.3964/j.issn.1000-0593(2012)11-2929-06
作者姓名:冯李航  曾捷  梁大开  刘宏月
作者单位:南京航空航天大学机械结构力学及控制国家重点实验室,江苏 南京 210016
基金项目:国家自然科学基金项目,江苏省科技计划项目,中国博士后科学基金项目,江苏省博士后资助计划项目
摘    要:从溶液离子影响表面等离子体共振(SPR)光谱特征的角度,分析讨论了光纤SPR光谱对水溶液离子成分检测的灵敏特征,基于此并应用于以矿化度为代表的水质检测中。研究通过对不同离子状态的电解质溶液(NaCl,KCl,CaCl2,MgCl2,Na2CO3,MgSO4和ZnSO4)和非电解质溶液(蔗糖、丙三醇、葡萄糖)下的光纤SPR光谱分析,得到水环境的杂质离子含量对SPR光谱的影响规律,进而实现了水质矿化度的检测。研究同时给出了光纤SPR光谱法与电导率分析法在八种不同水样的检测对比分析,光纤SPR光谱法拥有高灵敏度、快速响应、抗电磁干扰等优点,对光纤SPR技术在水质检测领域的应用打下良好的基础。

关 键 词:光纤传感器  表面等离子体共振(SPR)  光谱分析  矿化度检测  
收稿时间:2012-04-30

Surface Plasmon Resonance Spectral Based Fiber Optic Sensor for Detection of Total Dissolved Solids in Water Quality Analysis
FENG Li-hang , ZENG Jie , LIANG Da-kai , LIU Hong-yue. Surface Plasmon Resonance Spectral Based Fiber Optic Sensor for Detection of Total Dissolved Solids in Water Quality Analysis[J]. Spectroscopy and Spectral Analysis, 2012, 32(11): 2929-2934. DOI: 10.3964/j.issn.1000-0593(2012)11-2929-06
Authors:FENG Li-hang    ZENG Jie    LIANG Da-kai    LIU Hong-yue
Affiliation:State Key Laboratory of Mechanics and Control of Mechanical Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Abstract:As surface plasmon resonance (SPR) spectrum is sensitive to refractive index of the mediums, we explored its sensitivity characteristic of ions composition detection in a solution so as to measure the total dissolved solid value in water. Seven ionic (NaCl, KCl, CaCl2, MgCl2, Na2CO3, MgSO4 and ZnSO4) and 3 non-ionic (glucose, glycerol and sucrose) liquid samples were studied experimentally with a fiber optic SPR sensor. The influence of ion concentration on the resonance wavelength shift in SPR spectrum was investigated and discussed, and with that, the response curves were established to realize the detection of total dissolved solid in water quality analysis. The FO-SPR sensor spectral curve for TDS measurement was in conformity with ionic conductivity in 8 different water samples, and results show that the spectral method was better in high ion concentration detection of water. This research will broaden the SPR application in the field of water quality monitoring.
Keywords:Optical fiber sensor  Surface plasmon resonance  Spectral analysis  TDS measurement   
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