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http://dx.doi.org/10.7236/IJASC.2016.5.2.73

Design of Optical Biological Sensor for Phycocyanin Parameters Measurement using Fluorescence Technique  

Lee, Sung Hwa (Department of Telecommunication & Information, Cheju Halla University)
Mariappan, Vinayagam (Media IT Engineering, Seoul National University, of Science and Tech.)
Won, Dong Chan (Pangaea21 LTD.)
Ann, Myungsuk (Department of theology & Pastoral Counseling, Seoul Jangsin University)
Yang, Seungyoun (Fivetek LTD.)
Publication Information
International journal of advanced smart convergence / v.5, no.2, 2016 , pp. 73-79 More about this Journal
Abstract
Remote sensing and measurement are of paramount importance of providing information on the state of water quality in water bodies. The formation and growth of cyanobacteria is of serious concern to in land aquatic life forms and human life. The main cause of water quality deterioration stems from anthropogenic induced eutrophication. The goal of this research to quantify and determine the spatial distribution of cyanobacteria concentration in the water using remote sensing technique. The standard approach to measure water quality based on the direct measurement of the fluorescence of the chlorophyll a in the living algal cells and the same approach used to detect the phycobilin pigments found in blue-green algae (a.k.a. cyanobacteria), phycocyanin and phycoerythrin. This paper propose the emerging sensor design to measure the water quality based on the optical analysis by fluorescence of the phycocyanin pigment. In this research, we developed an method to sense and quantify to derive phycocyanin intensity index for estimating cyanobacteria concentrations. The development of the index was based on the reflectance difference between visible light band 620nm and 665nm. As a result of research this paper presents, an optical biological sensor design information to measure the Phycocyanin parameters in water content.
Keywords
Fluorescence; Phycocyanin; Optical; Biological Sensor; cyanobacteria; hyperspectral remote sensing; spectral reflectance;
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