光纤布拉格光栅
材料科学
光纤
纳米复合材料
光纤传感器
栅栏
检出限
纤维
灵敏度(控制系统)
水溶液中的金属离子
环境污染
光电子学
纳米技术
计算机科学
金属
电子工程
电信
环境科学
化学
复合材料
波长
环境保护
色谱法
工程类
冶金
作者
Souvik Ghosh,Kasun Prabuddha Wasantha Dissanayake,S. Asokan,Tong Sun,B. M. A. Rahman,K. T. V. Grattan
标识
DOI:10.1016/j.snb.2022.131818
摘要
Research on compact, flexible optical sensors for water quality monitoring, specifically targeting heavy metal ion monitoring, has become extremely important due to the increasing number of water pollution incidents seen worldwide where such heavy metals are involved. Optical fiber-based sensors provide an excellent basis for creating new sensing solutions across a wide area, including for energy, healthcare, structural monitoring, defense and importantly here for environmental monitoring. An innovative, cost-optimized sensor solution to better heavy metal detection is proposed, by introducing a hybrid optical fiber grating sensor system based on concatenating a Long Period Grating (LPG) and Fiber Bragg Grating (FBG) for the concurrent detection of an important, specific heavy metal ion pollutant (in this case lead (Pb2+)). The approach uses the functionalization of an optical fiber grating with a chemically synthesized novel nanocomposite material (together with temperature sensing to allow such corrections to be applied). Such a method not only significantly enhances the system sensitivity (achieving 2.547 nm/nM), with a detection limit (0.5 nM), and high selectivity to the Pb2+ ions, but also mitigates the shortcomings of cross-sensitivity seen with many such sensors. Furthermore, in this work, the incorporation of a forward Artificial Neural Network (ANN)-based predictive algorithm has been incorporated to create an effective, well-calibrated system whose characteristics as an intelligent, highly sensitive system has been demonstrated in the detection of the sub-nanomolar concentration of Pb2+ ion in drinking water.
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