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Development of an Optical Method to Monitor Nitrification in Drinking Water

Nitrification is a common issue observed in chloraminated drinking water distribution systems, resulting in the undesirable loss of monochloramine (NH(2)Cl) residual. The decay of monochloramine releases ammonia (NH(3)), which is converted to nitrite (NO(2)(−)) and nitrate (NO(3)(−)) through a biolo...

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Detalles Bibliográficos
Autores principales: Hossain, Sharif, Cook, David, Chow, Christopher W. K., Hewa, Guna A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618176/
https://www.ncbi.nlm.nih.gov/pubmed/34833600
http://dx.doi.org/10.3390/s21227525
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author Hossain, Sharif
Cook, David
Chow, Christopher W. K.
Hewa, Guna A.
author_facet Hossain, Sharif
Cook, David
Chow, Christopher W. K.
Hewa, Guna A.
author_sort Hossain, Sharif
collection PubMed
description Nitrification is a common issue observed in chloraminated drinking water distribution systems, resulting in the undesirable loss of monochloramine (NH(2)Cl) residual. The decay of monochloramine releases ammonia (NH(3)), which is converted to nitrite (NO(2)(−)) and nitrate (NO(3)(−)) through a biological oxidation process. During the course of monochloramine decay and the production of nitrite and nitrate, the spectral fingerprint is observed to change within the wavelength region sensitive to these species. In addition, chloraminated drinking water will contain natural organic matter (NOM), which also has a spectral fingerprint. To assess the nitrification status, the combined nitrate and nitrite absorbance fingerprint was isolated from the total spectra. A novel method is proposed here to isolate their spectra and estimate their combined concentration. The spectral fingerprint of pure monochloramine solution at different concentrations indicated that the absorbance difference between two concentrations at a specific wavelength can be related to other wavelengths by a linear function. It is assumed that the absorbance reduction in drinking water spectra due to monochloramine decay will follow a similar pattern as in ultrapure water. Based on this criteria, combined nitrate and nitrite spectra were isolated from the total spectrum. A machine learning model was developed using the support vector regression (SVR) algorithm to relate the spectral features of pure nitrate and nitrite with their concentrations. The model was used to predict the combined nitrate and nitrite concentration for a number of test samples. Out of these samples, the nitrified sample showed an increasing trend of combined nitrate and nitrite productions. The predicted values were matched with the observed concentrations, and the level of precision by the method was ± 0.01 mg-N L(−1). This method can be implemented in chloraminated distribution systems to monitor and manage nitrification.
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spelling pubmed-86181762021-11-27 Development of an Optical Method to Monitor Nitrification in Drinking Water Hossain, Sharif Cook, David Chow, Christopher W. K. Hewa, Guna A. Sensors (Basel) Article Nitrification is a common issue observed in chloraminated drinking water distribution systems, resulting in the undesirable loss of monochloramine (NH(2)Cl) residual. The decay of monochloramine releases ammonia (NH(3)), which is converted to nitrite (NO(2)(−)) and nitrate (NO(3)(−)) through a biological oxidation process. During the course of monochloramine decay and the production of nitrite and nitrate, the spectral fingerprint is observed to change within the wavelength region sensitive to these species. In addition, chloraminated drinking water will contain natural organic matter (NOM), which also has a spectral fingerprint. To assess the nitrification status, the combined nitrate and nitrite absorbance fingerprint was isolated from the total spectra. A novel method is proposed here to isolate their spectra and estimate their combined concentration. The spectral fingerprint of pure monochloramine solution at different concentrations indicated that the absorbance difference between two concentrations at a specific wavelength can be related to other wavelengths by a linear function. It is assumed that the absorbance reduction in drinking water spectra due to monochloramine decay will follow a similar pattern as in ultrapure water. Based on this criteria, combined nitrate and nitrite spectra were isolated from the total spectrum. A machine learning model was developed using the support vector regression (SVR) algorithm to relate the spectral features of pure nitrate and nitrite with their concentrations. The model was used to predict the combined nitrate and nitrite concentration for a number of test samples. Out of these samples, the nitrified sample showed an increasing trend of combined nitrate and nitrite productions. The predicted values were matched with the observed concentrations, and the level of precision by the method was ± 0.01 mg-N L(−1). This method can be implemented in chloraminated distribution systems to monitor and manage nitrification. MDPI 2021-11-12 /pmc/articles/PMC8618176/ /pubmed/34833600 http://dx.doi.org/10.3390/s21227525 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hossain, Sharif
Cook, David
Chow, Christopher W. K.
Hewa, Guna A.
Development of an Optical Method to Monitor Nitrification in Drinking Water
title Development of an Optical Method to Monitor Nitrification in Drinking Water
title_full Development of an Optical Method to Monitor Nitrification in Drinking Water
title_fullStr Development of an Optical Method to Monitor Nitrification in Drinking Water
title_full_unstemmed Development of an Optical Method to Monitor Nitrification in Drinking Water
title_short Development of an Optical Method to Monitor Nitrification in Drinking Water
title_sort development of an optical method to monitor nitrification in drinking water
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618176/
https://www.ncbi.nlm.nih.gov/pubmed/34833600
http://dx.doi.org/10.3390/s21227525
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