DOI QR코드

DOI QR Code

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

  • 투고 : 2016.04.20
  • 심사 : 2016.05.22
  • 발행 : 2016.06.30

초록

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.

키워드

참고문헌

  1. Glazer, A.N., 1989. Light guides. Directional energy transfer in a photosynthetic antenna. J. Biol. Chem. 264:1-4
  2. Barsanti, L., & et al. (2008). Oddities and Curiosities in the Algal World. Media, 353-391
  3. Lakowicz, J. R. 2006. Principles of Fluorescence Spectroscopy. Springer, 954 pp.
  4. Roettgers, R. 2007. Comparison of different variable chlorophyll a fluorescence techniques to determine photosynthetic parameters of natural phytoplankton. Deep-Sea Research, Part I-Oceanographic Research Papers 54: 437-451. https://doi.org/10.1016/j.dsr.2006.12.007
  5. Strass, V. 1990. On the calibration of large-scale fluorometric chlorophyll measurements from towed undulating vehicles. Deep-Sea Research, Part A-Oceanographic Research Papers 37: 525-540. https://doi.org/10.1016/0198-0149(90)90023-O
  6. Paresys, G., Rigart, C., Rousseau, B., Wong, A. W. M., Fan, F., Barbier, J. P., Lavaud, J. 2005. Quantitative and qualitative evaluation of phytoplankton communities by trichromatic chlorophyll fluorescence excitation with special focus on cyanobacteria. Water Research 39: 911-921. https://doi.org/10.1016/j.watres.2004.12.005
  7. Babichenko S, Leeben A, Poryvkina L, van der Vagt R, de Vos F (2000) Fluorescent screening of phytoplankton and organic compounds in sea water. J Environ Monit 2:378-383 https://doi.org/10.1039/b002780o
  8. Yentsch CS, Yentsch CM (1979) Fluorescence spectral signatures: the characterization of phytoplankton populations by the use of excitation and emission spectra. J Mar Res 37:471-483
  9. Horvath H, Kovacs AW, Riddick C, Presing M (2013) Extraction methods for phycocyanin determination in freshwater filamentous cyanobacteria and their application in a shallow lake. Eur J Phycol 48:278-286 https://doi.org/10.1080/09670262.2013.821525
  10. Anttila S., Ketola M., Vakkilainen K. and Kairesalo T. (2012). Assessing temporal representativeness of water quality monitoring data. J.Environ.Monit., 14, 589-595. https://doi.org/10.1039/C2EM10768F
  11. Bastien C., Cardin R., Veilleux E., Deplois C., Warren A. and Laurion I. (2011). Performance evaluation of phycocyanin probes for the monitoring of cyanobacteria. J.Environ.Monit., 13,110-118. https://doi.org/10.1039/C0EM00366B
  12. Brient, L., Lengronne M., Bertrand E., Rolland D., Sipel A., Steinmann D., Baudin M., Le Rouzic B. and Bormans M. (2008). A phycocyanin probe as a tool for monitoring cyanobacteria in freshwater bodies. J.Environ.Monit., 10, 248-255 https://doi.org/10.1039/B714238B