PH20 On-line Water Toxicity Monitoring
Exhibit Hall
8:00 AM - Thursday
(PH236) Utilization of fractal dimension analysis to an on-line biological early warning system using Japanese medaka (Oryzias latipes) for monitoring of water quality.
Kang, I.J.1, Oshima, Y.2, Kunimaru, H.1, Yamasuga, M.1, Okamoto, F.1, Honjo, T.2, 1 SEIKO Electric Co., Ltd., Fukuoka, Japan2 Kyushu University, Fukuoka, Japan
ABSTRACT- Nowadays, there is a requirement for on-line monitoring systems using aquatic organisms for evaluation of water quality in water supply and sewage treatment. To use aquatic organisms is an efficient method to detect unexpected toxicant substances and complex harmful chemicals in aquatic environments. In particular, it is necessary to use an on-line biological early warning system to protect against terrorism, for safety of drinking water supply. We detail the development of an on-line fish-sensor system using Japanese medaka (medaka-sensor, SEIKO ELECTRIC CO., LTD, Japan),which can rapidly detect harmful toxicants. In a previous study, it took less than 15 min to detect abnormal water quality via the behavior of medaka exposed to 1 ppm of potassium cyanide (KCN). In this study, we examine the use of fractal dimension analysis to this system in order to enhance the detection speed and capability for monitoring water quality. We conducted exposure tests using medaka to evaluate the detection ability of the medaka-sensor. This system comprised an aquarium (10 × 10 × 15 cm) with a continuous flow system (400 ml/min). Two cameras tracked the behavior of medaka, and images from the cameras were used to calculate the behavior of fish at three dimensions. These data were analyzed on a computer in real-time so that abnormal or deviant behaviors were detected. In the present study, we performed fractal dimension analysis for the behavior of medaka (swimming speed and swimming position, etc.) exposed to KCN (0.1, 1 and 10 mg/L) and phenol (12.5, 25 and 50 mg/L) for 1 hour. The results of real-time monitoring using the behavior of medaka will be presented.
Key words: medaka, on-line monitoring, behavior, water quality