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Sensors 2016, 16(1), 61; doi:10.3390/s16010061

Detection of Organic Compounds in Water by an Optical Absorbance Method

1
School of Electronics and Computer Engineering, Chonnam National University, 300 Youngbong-dong, Buk-gu, Gwangju 500-757, Korea
2
Korea Photonics Technology Institute, Medical Photonics Research Center, 9, Cheomdan venture-ro 108beon-gil, Buk-gu, Gwangju 500-779, Korea
3
Samsung Display Co. Ltd., Samsung st. 181, Tangjeong-Myeon, Asan 335-741, Korea
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 14 October 2015 / Revised: 30 December 2015 / Accepted: 30 December 2015 / Published: 4 January 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [1969 KB, uploaded 4 January 2016]   |  

Abstract

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. View Full-Text
Keywords: optical system; absorbance; total organic carbon; multiple linear regression; organic pollutant optical system; absorbance; total organic carbon; multiple linear regression; organic pollutant
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Kim, C.; Eom, J.B.; Jung, S.; Ji, T. Detection of Organic Compounds in Water by an Optical Absorbance Method. Sensors 2016, 16, 61.

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