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http://dx.doi.org/10.7236/IJIBC.2018.10.2.8

Optical Filter Design for Fluorescence Technique Based Phycocyanin Measurement Sensor Used In Water Treatment Plants  

Mariappan, Vinayagam (Graduate School of Nano IT Design Fusion, Seoul National Univ., of Science and Tech.)
Lee, Sung Hwa (Department of Telecommunication & Information, Cheju Halla University)
Yang, Seungyoun (Fivetek LTD.)
Kim, Jintae (Fivetek LTD.)
Lee, Minwoo (IT Convergence Technology Research Lab, Seoul National Univ., of Science and Tech.)
Publication Information
International Journal of Internet, Broadcasting and Communication / v.10, no.2, 2018 , pp. 45-50 More about this Journal
Abstract
Recently the water management department advised the water treatment industry to focus on deploy the chemical free and the environmentally responsible process to adopt on water treatment plants in every country. In this objective, water treatment process started using ultrasonic based phycocyanin extraction with fluorescence measurement techniques to detect the change in the yield of phycocyanin. This paper propose the design of optical filter model for fluorescence technique based immersive optical phycocyanin measurement sensor design. The proposed design uses the multi-wavelength sensor module for irradiating part, and this plays a role of removing a wavelength band other than 590 ~ 620 nm. The preliminary study on immersed phycocyanin sensor, the fluorescence value of picocyanin according to the ultrasonic intensity, treatment time and number of cells was measured using JM phycocyanin module to emulate the proposed design, and were compared performance of the proposed sensor emulation. In this design, the phycocyanin fluorescence value increased about 2.1 ~ 4.7 times as the ultrasonic treatment time increased as compared with JM phycocyanin module, and the phycocyanin fluorescence value within the analysis range was obtained by ultrasonic treatment within one minute.
Keywords
Fluorescence; Phycocyanin; Optical; Biological Sensor; cyanobacteria; hyperspectral remote sensing; Optical Filter;
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Times Cited By KSCI : 3  (Citation Analysis)
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