Calibration of Fiber Grating Heavy Metal Ion Sensor Using Artificial Neural Network

Souvik Ghosh; Kasun Dissanayake; Tong Sun; Kenneth T. V. Grattan; B. M. Azizur Rahman

doi:10.1364/CLEO_AT.2021.JW1A.25

Conference on Lasers and Electro-Optics
OSA Technical Digest (Optica Publishing Group, 2021),
paper JW1A.25
•https://doi.org/10.1364/CLEO_AT.2021.JW1A.25

Calibration of Fiber Grating Heavy Metal Ion Sensor Using Artificial Neural Network

Souvik Ghosh, Kasun Dissanayake, Tong Sun, Kenneth T. V. Grattan, and B. M. Azizur Rahman

CLEO: Applications and Technology 2021

San Jose, California United States
9–14 May 2021
ISBN: 978-1-943580-91-0

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Joint Poster Session II (JW1A)

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S. Ghosh, K. Dissanayake, T. Sun, K. T. V. Grattan, and B. M. Azizur Rahman, "Calibration of Fiber Grating Heavy Metal Ion Sensor Using Artificial Neural Network," in Conference on Lasers and Electro-Optics, J. Kang, S. Tomasulo, I. Ilev, D. Müller, N. Litchinitser, S. Polyakov, V. Podolskiy, J. Nunn, C. Dorrer, T. Fortier, Q. Gan, and C. Saraceno, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper JW1A.25.

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Abstract

An ultrasensitive hybrid fiber grating sensor has been designed and functionalized with a novel nanocomposite material for selective detection of lead ions in water. Sensor performance is enhanced using an artificial neural network-based calibration process.

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