Design of a salinity sensor based on long-period fiber grating for aquatic environment

This study proposes a simulation-based methodology for the design and analysis of a salinity sensor utilizing Long Period Fiber Grating (LPFG) technology. LPFGs offer a promising platform for sensing applications due to their sensitivity to changes in refractive index. We focus on designing and evaluating the performance of an LPFG-based salinity sensor for measuring seawater concentration. By employing the Transfer Matrix Method for sensor design and leveraging the Coupled Mode Theory (CMT), which underpins LPFG modeling, we investigate the sensor’s response to varying salinity levels. Thesensitivity of the designed sensor is reported as $1776 \mathrm{~nm} /$ RIU ($0.3189 \mathrm{~nm} / \%$).

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Publication Details

Published
2024-10-01
DOI
https://doi.org/10.1109/icaecot62402.2024.10828705
Primary Topic
Water Quality Monitoring Technologies
Type
article
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article

Design of a salinity sensor based on long-period fiber grating for aquatic environment

Boughagha Abderrahim, Cherbi Lynda
Water Quality Monitoring Technologies
article

Design of a salinity sensor based on long-period fiber grating for aquatic environment

Boughagha Abderrahim, Cherbi Lynda
article en

Abstract

This study proposes a simulation-based methodology for the design and analysis of a salinity sensor utilizing Long Period Fiber Grating (LPFG) technology. LPFGs offer a promising platform for sensing applications due to their sensitivity to changes in refractive index. We focus on designing and evaluating the performance of an LPFG-based salinity sensor for measuring seawater concentration. By employing the Transfer Matrix Method for sensor design and leveraging the Coupled Mode Theory (CMT), which underpins LPFG modeling, we investigate the sensor’s response to varying salinity levels. Thesensitivity of the designed sensor is reported as $1776 \mathrm{~nm} /$ RIU ($0.3189 \mathrm{~nm} / \%$).

University of Sciences and Technology Houari Boumediene (DZ)
Life below water
Openalex Percentile: Top 75%
Water Quality Monitoring Technologies
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