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Detection of Organic Compounds in Water by an Optical Absorbance Method
This paper proposes an optical method which allows determination of the organic compound concentration in water by measurement of the UV (ultraviolet) absorption at a wavelength of 250 nm~300 nm. The UV absorbance was analyzed by means of a multiple linear regression model for estimation of the tota...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732094/ https://www.ncbi.nlm.nih.gov/pubmed/26742043 http://dx.doi.org/10.3390/s16010061 |
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author | Kim, Chihoon Eom, Joo Beom Jung, Soyoun Ji, Taeksoo |
author_facet | Kim, Chihoon Eom, Joo Beom Jung, Soyoun Ji, Taeksoo |
author_sort | Kim, Chihoon |
collection | PubMed |
description | This paper proposes an optical method which allows determination of the organic compound concentration in water by measurement of the UV (ultraviolet) absorption at a wavelength of 250 nm~300 nm. The UV absorbance was analyzed by means of a multiple linear regression model for estimation of the total organic carbon contents in water, which showed a close correlation with the UV absorbance, demonstrating a high adjusted coefficient of determination, 0.997. The comparison of the TOC (total organic carbon) concentrations for real samples (tab water, sea, and river) calculated from the UV absorbance spectra, and those measured by a conventional TOC analyzer indicates that the higher the TOC value the better the agreement. This UV absorbance method can be easily configured for real-time monitoring water pollution, and built into a compact system applicable to industry areas. |
format | Online Article Text |
id | pubmed-4732094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-47320942016-02-12 Detection of Organic Compounds in Water by an Optical Absorbance Method Kim, Chihoon Eom, Joo Beom Jung, Soyoun Ji, Taeksoo Sensors (Basel) Article This paper proposes an optical method which allows determination of the organic compound concentration in water by measurement of the UV (ultraviolet) absorption at a wavelength of 250 nm~300 nm. The UV absorbance was analyzed by means of a multiple linear regression model for estimation of the total organic carbon contents in water, which showed a close correlation with the UV absorbance, demonstrating a high adjusted coefficient of determination, 0.997. The comparison of the TOC (total organic carbon) concentrations for real samples (tab water, sea, and river) calculated from the UV absorbance spectra, and those measured by a conventional TOC analyzer indicates that the higher the TOC value the better the agreement. This UV absorbance method can be easily configured for real-time monitoring water pollution, and built into a compact system applicable to industry areas. MDPI 2016-01-04 /pmc/articles/PMC4732094/ /pubmed/26742043 http://dx.doi.org/10.3390/s16010061 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kim, Chihoon Eom, Joo Beom Jung, Soyoun Ji, Taeksoo Detection of Organic Compounds in Water by an Optical Absorbance Method |
title | Detection of Organic Compounds in Water by an Optical Absorbance Method |
title_full | Detection of Organic Compounds in Water by an Optical Absorbance Method |
title_fullStr | Detection of Organic Compounds in Water by an Optical Absorbance Method |
title_full_unstemmed | Detection of Organic Compounds in Water by an Optical Absorbance Method |
title_short | Detection of Organic Compounds in Water by an Optical Absorbance Method |
title_sort | detection of organic compounds in water by an optical absorbance method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732094/ https://www.ncbi.nlm.nih.gov/pubmed/26742043 http://dx.doi.org/10.3390/s16010061 |
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