Articles | Volume 9, issue 2
https://doi.org/10.5194/dwes-9-37-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/dwes-9-37-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Application of machine learning for real-time evaluation of salinity (or TDS) in drinking water using photonic sensors
Sandip Kumar Roy
CORRESPONDING AUTHOR
Department of ECE, AMET University, Chennai, 603112, India
Preeta Sharan
Department of ECE, Bangalore, 560068, India
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Cited
13 citations as recorded by crossref.
- Circular diaphragm-based MOEMS pressure sensor using ring resonator P. Yashaswini et al. 10.1007/s41870-020-00534-5
- Design and parametric evaluation of multi cavity photonic sensors B. Pandey et al. 10.1007/s12596-025-02690-y
- Research on Small-Scale Detection Instrument for Drinking Water Combined Laser Spectroscopy and Conductivity Technology Z. Tian et al. 10.3390/s23062985
- A novel automated framework for water impurity detection A. Shaikh et al. 10.1007/s41870-020-00601-x
- A strip‐based total dissolved solids sensor for water quality analysis M. Makhdoumi Akram et al. 10.1049/smt2.12098
- Design and analysis of machine learning enhanced photonic crystal biosensor for bacterial detection S. G & N. Hiremani 10.1007/s12596-025-02470-8
- Novel Materials–Based Photonic Crystal Fiber Sensor for Biomedical Applications S. Jain et al. 10.1007/s11468-023-02100-8
- Towards Development of a Simple Technique Based on Wavelength Specific Absorption for Quality Measurement of Flowing Water H. Nayeem et al. 10.1109/JSEN.2020.3012020
- Estuary salinity prediction using machine learning: case study in the Hau estuary in Mekong River, Vietnam H. Nguyen et al. 10.2166/ws.2025.007
- Application of Machine Learning for Accurate Detection of Hemoglobin Concentrations Employing Defected 1D Photonic Crystal A. Panda et al. 10.1007/s12633-022-01926-x
- A Highly Sensitive H-Shaped Optical Fiber Sensor for Monitoring Blood Glucose Level A. Panda et al. 10.1109/JSEN.2024.3410548
- Research on a small-scale drinking water quality detection system based on detection of laser-induced fluorescence H. Chen et al. 10.1088/1742-6596/2226/1/012002
- Water salinity measurement using a long-period grating and optical time-domain reflectometry M. Jucá et al. 10.1364/JOSAB.478717
13 citations as recorded by crossref.
- Circular diaphragm-based MOEMS pressure sensor using ring resonator P. Yashaswini et al. 10.1007/s41870-020-00534-5
- Design and parametric evaluation of multi cavity photonic sensors B. Pandey et al. 10.1007/s12596-025-02690-y
- Research on Small-Scale Detection Instrument for Drinking Water Combined Laser Spectroscopy and Conductivity Technology Z. Tian et al. 10.3390/s23062985
- A novel automated framework for water impurity detection A. Shaikh et al. 10.1007/s41870-020-00601-x
- A strip‐based total dissolved solids sensor for water quality analysis M. Makhdoumi Akram et al. 10.1049/smt2.12098
- Design and analysis of machine learning enhanced photonic crystal biosensor for bacterial detection S. G & N. Hiremani 10.1007/s12596-025-02470-8
- Novel Materials–Based Photonic Crystal Fiber Sensor for Biomedical Applications S. Jain et al. 10.1007/s11468-023-02100-8
- Towards Development of a Simple Technique Based on Wavelength Specific Absorption for Quality Measurement of Flowing Water H. Nayeem et al. 10.1109/JSEN.2020.3012020
- Estuary salinity prediction using machine learning: case study in the Hau estuary in Mekong River, Vietnam H. Nguyen et al. 10.2166/ws.2025.007
- Application of Machine Learning for Accurate Detection of Hemoglobin Concentrations Employing Defected 1D Photonic Crystal A. Panda et al. 10.1007/s12633-022-01926-x
- A Highly Sensitive H-Shaped Optical Fiber Sensor for Monitoring Blood Glucose Level A. Panda et al. 10.1109/JSEN.2024.3410548
- Research on a small-scale drinking water quality detection system based on detection of laser-induced fluorescence H. Chen et al. 10.1088/1742-6596/2226/1/012002
- Water salinity measurement using a long-period grating and optical time-domain reflectometry M. Jucá et al. 10.1364/JOSAB.478717
Latest update: 24 Apr 2025
Short summary
About 20 % of the world population lives in areas without sufficient portable water; 97 % of the water on the earth is seawater. Understanding the level of salinity/TDS of seawater is a necessity. Currently, determination of salt content is by chemical analysis and is time-consuming. Our research is to develop a lab on chip optical sensor to measure the percentage of salinity in water. Even a small % of salinity change in water can be detected in real time by the sensor continuously with accuracy.
About 20 % of the world population lives in areas without sufficient portable water; 97 % of the...