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Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications
Water monitoring technologies are widely used for contaminants detection in wide variety of water ecology applications such as water treatment plant and water distribution system. A tremendous amount of research has been conducted over the past decades to develop robust and efficient techniques of c...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126548/ https://www.ncbi.nlm.nih.gov/pubmed/32288249 http://dx.doi.org/10.1016/j.snb.2017.09.078 |
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author | Zulkifli, Syahidah Nurani Rahim, Herlina Abdul Lau, Woei-Jye |
author_facet | Zulkifli, Syahidah Nurani Rahim, Herlina Abdul Lau, Woei-Jye |
author_sort | Zulkifli, Syahidah Nurani |
collection | PubMed |
description | Water monitoring technologies are widely used for contaminants detection in wide variety of water ecology applications such as water treatment plant and water distribution system. A tremendous amount of research has been conducted over the past decades to develop robust and efficient techniques of contaminants detection with minimum operating cost and energy. Recent developments in spectroscopic techniques and biosensor approach have improved the detection sensitivities, quantitatively and qualitatively. The availability of in-situ measurements and multiple detection analyses has expanded the water monitoring applications in various advanced techniques including successful establishment in hand-held sensing devices which improves portability in real-time basis for the detection of contaminant, such as microorganisms, pesticides, heavy metal ions, inorganic and organic components. This paper intends to review the developments in water quality monitoring technologies for the detection of biological and chemical contaminants in accordance with instrumental limitations. Particularly, this review focuses on the most recently developed techniques for water contaminant detection applications. Several recommendations and prospective views on the developments in water quality assessments will also be included. |
format | Online Article Text |
id | pubmed-7126548 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71265482020-04-08 Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications Zulkifli, Syahidah Nurani Rahim, Herlina Abdul Lau, Woei-Jye Sens Actuators B Chem Article Water monitoring technologies are widely used for contaminants detection in wide variety of water ecology applications such as water treatment plant and water distribution system. A tremendous amount of research has been conducted over the past decades to develop robust and efficient techniques of contaminants detection with minimum operating cost and energy. Recent developments in spectroscopic techniques and biosensor approach have improved the detection sensitivities, quantitatively and qualitatively. The availability of in-situ measurements and multiple detection analyses has expanded the water monitoring applications in various advanced techniques including successful establishment in hand-held sensing devices which improves portability in real-time basis for the detection of contaminant, such as microorganisms, pesticides, heavy metal ions, inorganic and organic components. This paper intends to review the developments in water quality monitoring technologies for the detection of biological and chemical contaminants in accordance with instrumental limitations. Particularly, this review focuses on the most recently developed techniques for water contaminant detection applications. Several recommendations and prospective views on the developments in water quality assessments will also be included. Elsevier B.V. 2018-02 2017-09-18 /pmc/articles/PMC7126548/ /pubmed/32288249 http://dx.doi.org/10.1016/j.snb.2017.09.078 Text en © 2017 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Zulkifli, Syahidah Nurani Rahim, Herlina Abdul Lau, Woei-Jye Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications |
title | Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications |
title_full | Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications |
title_fullStr | Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications |
title_full_unstemmed | Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications |
title_short | Detection of contaminants in water supply: A review on state-of-the-art monitoring technologies and their applications |
title_sort | detection of contaminants in water supply: a review on state-of-the-art monitoring technologies and their applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7126548/ https://www.ncbi.nlm.nih.gov/pubmed/32288249 http://dx.doi.org/10.1016/j.snb.2017.09.078 |
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