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Real-Time Monitoring of Tetraselmis suecica in A Saline Environment as Means of Early Water Pollution Detection
Biological water pollution, including organic pollutants and their possible transportation, via biofouling and ballast water, has the potential to cause severe economic and health impacts on society and environment. Current water pollution monitoring methods are limited by transportation of samples...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6315521/ https://www.ncbi.nlm.nih.gov/pubmed/30274216 http://dx.doi.org/10.3390/toxics6040057 |
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author | Moejes, Karin Brenda Sherif, Reshma Sulthana Rahiman Dürr, Simone Conlan, Sheelagh Mason, Alex Korostynska, Olga |
author_facet | Moejes, Karin Brenda Sherif, Reshma Sulthana Rahiman Dürr, Simone Conlan, Sheelagh Mason, Alex Korostynska, Olga |
author_sort | Moejes, Karin Brenda |
collection | PubMed |
description | Biological water pollution, including organic pollutants and their possible transportation, via biofouling and ballast water, has the potential to cause severe economic and health impacts on society and environment. Current water pollution monitoring methods are limited by transportation of samples to the laboratory for analysis, which could take weeks. There is an urgent need for a water quality monitoring technique that generates real-time data. The study aims to assess the feasibility of three sensing techniques to detect and monitor the concentrations of the model species Tetraselmis suecica in real-time using eleven samples for each method. Results showed UV-Vis spectrophotometer detected increasing concentration of Tetraselmis suecica with R(2) = 0.9627 and R(2) = 0.9672, at 450 nm and 650 nm wavelengths, respectively. Secondly, low-frequency capacitance measurements showed a linear relationship with increasing concentration of Tetraselmis suecica at 150 Hz (R(2) = 0.8463) and 180 Hz (R(2) = 0.8391). Finally, a planar electromagnetic wave sensor measuring the reflected power S(11) amplitude detected increasing cell density at 4 GHz (R(2) = 0.8019). |
format | Online Article Text |
id | pubmed-6315521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63155212019-01-11 Real-Time Monitoring of Tetraselmis suecica in A Saline Environment as Means of Early Water Pollution Detection Moejes, Karin Brenda Sherif, Reshma Sulthana Rahiman Dürr, Simone Conlan, Sheelagh Mason, Alex Korostynska, Olga Toxics Article Biological water pollution, including organic pollutants and their possible transportation, via biofouling and ballast water, has the potential to cause severe economic and health impacts on society and environment. Current water pollution monitoring methods are limited by transportation of samples to the laboratory for analysis, which could take weeks. There is an urgent need for a water quality monitoring technique that generates real-time data. The study aims to assess the feasibility of three sensing techniques to detect and monitor the concentrations of the model species Tetraselmis suecica in real-time using eleven samples for each method. Results showed UV-Vis spectrophotometer detected increasing concentration of Tetraselmis suecica with R(2) = 0.9627 and R(2) = 0.9672, at 450 nm and 650 nm wavelengths, respectively. Secondly, low-frequency capacitance measurements showed a linear relationship with increasing concentration of Tetraselmis suecica at 150 Hz (R(2) = 0.8463) and 180 Hz (R(2) = 0.8391). Finally, a planar electromagnetic wave sensor measuring the reflected power S(11) amplitude detected increasing cell density at 4 GHz (R(2) = 0.8019). MDPI 2018-09-28 /pmc/articles/PMC6315521/ /pubmed/30274216 http://dx.doi.org/10.3390/toxics6040057 Text en © 2018 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Moejes, Karin Brenda Sherif, Reshma Sulthana Rahiman Dürr, Simone Conlan, Sheelagh Mason, Alex Korostynska, Olga Real-Time Monitoring of Tetraselmis suecica in A Saline Environment as Means of Early Water Pollution Detection |
title | Real-Time Monitoring of Tetraselmis suecica in A Saline Environment as Means of Early Water Pollution Detection |
title_full | Real-Time Monitoring of Tetraselmis suecica in A Saline Environment as Means of Early Water Pollution Detection |
title_fullStr | Real-Time Monitoring of Tetraselmis suecica in A Saline Environment as Means of Early Water Pollution Detection |
title_full_unstemmed | Real-Time Monitoring of Tetraselmis suecica in A Saline Environment as Means of Early Water Pollution Detection |
title_short | Real-Time Monitoring of Tetraselmis suecica in A Saline Environment as Means of Early Water Pollution Detection |
title_sort | real-time monitoring of tetraselmis suecica in a saline environment as means of early water pollution detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6315521/ https://www.ncbi.nlm.nih.gov/pubmed/30274216 http://dx.doi.org/10.3390/toxics6040057 |
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