Alternative Alert System for Cyanobacterial Bloom, Using Phycocyanin as a Level Determinant

다국어 초록 (Multilingual Abstract)

Chlorophyll a concentration and cyanobacterial cell density are regularly employed as dual criteria for determinations of the alert level for cyanobacterial bloom. However, chlorophyll a is not confined only to the cyanobacteria, but is found universally in eukaryotic algae. Furthermore, the determination of cyanobacterial cell counts is notoriously difficult, and is unduly dependent on individual variation and trained skill. A cyanobacteria-specific parameter other than the cell count or chlorophyll a concentration is, accordingly, required in order to improve the present cyanobacterial bloom alert system. Phycocyanin has been shown to exhibit a strong correlation with a variety of bloom-related factors. This may allow for the current alert system criteria to be replaced by a three-stage alert system based on phycocyanin concentrations of 0.1, 30, and 700 μg/L. This would also be advantageous in that it would become far more simple to conduct measurements without the need for expensive equipment, thereby enabling the monitoring of entire lakes more precisely and frequently. Thus, an alert system with superior predictive ability based on highthroughput phycocyanin measurements appears feasible.

참고문헌 (Reference)

1 Bartram, J, "Situation assesment, planning and management" E & FN Spon, London, UK 179-209, 1999

2 Oh, H.M, "Seasonal variation and indirect monitoring of microcystin concentration in Daechung Reservoir, Korea" 67 : 1484-1489, 2001

3 Ahn, C.Y, "Rainfall, phycocyanin, and N:P ratios related to cyanobacterial blooms in a Korean large reservoir" 474 : 117-124, 2002

4 Le, T.Y, "Quantitative determination of cyanobacteria in mixed phytoplankton assemblages by an in vivo fluorimetric method" 302 : 81-87, 1995

5 Cho, J.C, "Quantitative detection of microbial genes by using DNA microarrays" 68 : 1425-1430, 2002

6 Rousseau, "Quantitative and qualitative evaluation of phytoplankton communities by trichromatic chlorophyl fluore-scence excitation with special focus on cyanobacteria" 911-921,

7 Vincent, R.K, "Phycocyanin detection from LANDSAT TM data for mapping cyanobacterial blooms in Lake Erie" 89 : 381-392, 2004

8 Tandeau de Marsac, "Methods in Enzymology" Academic Press Inc cya (cya): 318-328, 1988

9 Izydorczyk, K, "Measurement of phycocyanin fluorescence as an online early warning system for cyanobacteria in reservoir intake water" 20 : 425-430, 2005

10 Ahn, "Influence of rainfall on cyanobacterial bloom in Daechung Reservoir" lim (lim): 413-419,

11 Gregor, J, "In situ quantification of phytoplankton in reservoirs using a submersible spectrofluorometer" 548 : 141-151, 2005

12 WHO, "Guidelines for Safe Recreational Water Environments" World Health Organization, Geneva 219-, 2003

13 Ahn, C.Y, "Growth inhibition of cyanobacteria by ultrasonic radiation: laboratory and enclosure studies" 37 : 3031-3037, 2003b

14 Pretty, J.N, "Environmental costs of freshwater eutrophication in England and Wales" 37 : 201-208, 2003

15 Asai, R, "Development of a fluorometric sensor for the measurement of phycobilin pigment and application to freshwater phytoplankton" 4 : 53-61, 2000

16 Lawton, L, "Determination of cyanobacteria in the laboratory" E & FN Spon, London, UK 347-367, 1999

17 Falconer, I.R, "Cyanobacterial Toxins of Drinking Water Supplies" CRC Press, Boca Raton 279-, 2005

18 Wood, "Chloroform-methanol extraction of chlorophylla" 38-43, 1985

19 Zar, J.H, "Biostatistical Analysis" Prentice-Hall International Inc. 662-, 1996

20 Beutler, M, "A fluorometric method for the diferentiation of algal populations in vivo and in situ" 72 : 39-53, 2002