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Lead (Pb2+) ion sensor development using optical fiber gratings and nanocomposite materials

Ghosh, Souvik and Dissanayake, Kasun and Asokan, S and Sun, T and Rahman, BM Azizur and Grattan, Kenneth TV (2022) Lead (Pb2+) ion sensor development using optical fiber gratings and nanocomposite materials. In: Sensors and Actuators B: Chemical, 364 . ISSN 09254005

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Official URL: https://doi.org/10.1016/j.snb.2022.131818


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.

Item Type: Journal Article
Publication: Sensors and Actuators B: Chemical
Publisher: Elsevier B.V.
Additional Information: The copyright of this article belongs to the Elsevier B.V.
Keywords: Artificial Neural Network; Chemical sensor; Fiber Bragg grating; Graphene oxide; Heavy metal ion sensor; Long period grating; Polymer; Temperature sensor
Department/Centre: Division of Physical & Mathematical Sciences > Instrumentation Appiled Physics
Date Deposited: 24 May 2022 11:26
Last Modified: 24 May 2022 11:26
URI: https://eprints.iisc.ac.in/id/eprint/72318

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