大型溞在水质在线生物安全预警仪中的应用及研究
Study on Daphnia magna Applied to the Online Biosafety Early Warning Instrument of Water Quality
摘要: 本研究采用水质在线生物安全预警仪为测试仪器,其原理为通过机器视觉技术识别水生生物的行为而对水质进行持续监测,计算机根据大型溞各项行为参数建立的毒性值模型公式,高效快速地评价出受测水体的毒性大小。为了检验仪器测试结果的的精密度,以及比对不同仪器测试结果的差异,以大型溞为指示生物,以配制的标准水为测试水体,经过一系列测试,结果表明:1. 水质在线生物安全预警仪的精密度或稳定性性能良好,在可接受的范围内;2. 三台水质在线生物安全预警仪的测试结果,经过配对t检验验证,差异无统计学意义(P > 0.05)。同时,本文以大型溞为指示生物,以常见的Cr6+重金属以及农业中常用的吡虫啉、溴氰菊酯两种农药为试验毒物,探讨不同毒物胁迫下,大型溞在水质在线生物安全预警仪中的运动行为学参数(游泳速度、运动幅度、运动范围)及存活率的变化规律。实验结果表明:1. 大型溞在受到毒害后,其运动行为及存活率会发生显著变化;2. 大型溞在同一毒物不同浓度胁迫下,游泳速度、运动幅度和运动范围及存活率的响应时间不同,浓度越大,响应时间越早,但行为的变化趋势相似。
Abstract: In this study, the water quality online biological early warning instrument was used as the testing instrument, whose principle is to use machine vision technology to identify the behavior of aquatic organisms, and according to the model formula of toxicity value established by the behavior pa-rameters of Daphnia magna, the toxicity of the tested water was evaluated efficiently and quickly by computer to continuously monitor water quality. In order to check the precision of the test results of the instrument, and compare the differences between the test results of different instruments, taking Daphnia magna as the indicator organism and standard water as the test water, the results show that: 1. The precision or stability of the water quality online biosafety early warning instrument is good and within the acceptable range. 2. The test results of three online water quality biosafety early warning instruments, verified by paired t-test, showed no statistical significance (P > 0.05). Next, this paper describes a laboratory experiment investigating the behaviors (swimming speed, motion elevation, motion rang) and the survival rate of Daphnia magna, that is the biological indicator when being exposed to three toxicant substances: they are heavy metal cation Cr(VI) and two commonly used pesticides (lmidacloprid, deltamethyrin). The experimental results show: 1. The movement behavior and survival rate of Daphnia magna were significantly changed after being poisoned; 2. The response time of swimming speed, motion elevation, motion rang and survival rate of Daphnia magna were different under the stress of the same toxin concentration, the higher the earlier the response time, but the change trend of behavior was similar.
文章引用:张聪, 刘湛, 刘亚诗. 大型溞在水质在线生物安全预警仪中的应用及研究[J]. 环境保护前沿, 2023, 13(2): 344-357. https://doi.org/10.12677/AEP.2023.132045

参考文献

[1] Yachida, M., Asada, M. and Tsuji, S. (1981) Automatic Analysis of Moving Images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 3, 12-20. [Google Scholar] [CrossRef
[2] Van der Schalie, W.H., Shedd, T.R., Knechtges, P.L. and Widder, M.W. (2001) Using Higher Organisms in Biological Early Warning Systems for Real-Time Toxicity Detection. Biosensors and Bioelectronics, 16, 457-465. [Google Scholar] [CrossRef
[3] Gerhardt, A., de Bisthoven, L.J., Mo, Z., Wang, C., et al. (2002) Short-Term Responses of Oryzias latipes (Pisces: Adrianichthyidae) and Macrobrachium nipponense (Crustacea: Palaemonidae) to Municipal and Pharmaceutical Waste Water in Beijing, China: Survival, Behaviour, Biochemical Biomarkers. Chemosphere, 47, 35-47. [Google Scholar] [CrossRef
[4] Putman, R.J. and Wratten, S.D. (1984) Principles of Ecology. Springer, Dordrecht. [Google Scholar] [CrossRef
[5] 尚玉昌. 行为生态学[M]. 北京: 北京大学出版社, 1998: 14-16.
[6] Warner, R.E. (1967) Bio-Assays for Microchemical Environmental Contaminants: With Special Reference to Water Supplies. Bulletin of the World Health Organization, 36, 181-207.
[7] Tahedl, H. and Häder, D.-P. (2001) Automated Biomonitoring Using Real Time Movement Analysis of Euglena gracilis. Ecotoxicology and Environmental Safety, 48, 161-169. [Google Scholar] [CrossRef] [PubMed]
[8] 王英才, 王树磊, 胡文, 等. 生物综合毒性监测技术进展与多源生物预警体系[J]. 人民长江, 2017, 48(11): 21-26.
[9] Biswas, K., Taylor, M.W. and Turner, S.J. (2014) Successional Development of Biofilms in Moving Bed Biofilm Reactor (MBBR) Systems Treating Municipal Wastewater. Applied Microbiology and Biotechnology, 98, 1429-1440. [Google Scholar] [CrossRef] [PubMed]
[10] Lagerspetz, K.Y.H. (2000) Thermal Avoidance and Preference in Daphnia magna. Journal of Thermal Biology, 25, 405-410. [Google Scholar] [CrossRef
[11] Ringelberg, J. (1995) An Account of A Preliminary Mechanistic Model of Swimming Behaviour in Daphnia: Its Use in Understanding Diel Vertical Migration. In: Larsson, P. and Weider, L.J., Eds., Cladocera as Model Organisms in Biology, Developments in Hydrobiology, Vol. 107, Springer, Dordrecht, 161-165. [Google Scholar] [CrossRef
[12] Vandenbroele, M.C., Heijerick, D.G., Vangheluwe, M. and Janssen, C.R. (2000) Comparison of the Conventional Algal Assay and the Algaltoxkit F™ Microbiotest for Toxicity Evaluation of Sediment Pore Waters. In: Persoone, G., Janssen, C. and De Coen, W., Eds., New Microbiotests for Rou-tine Toxicity Screening and Biomonitoring, Springer, Boston, 261-268. [Google Scholar] [CrossRef
[13] 王庸晋. 现代临床检验学[M]. 第2版. 北京: 人民军医出版社, 2007: 16-19.
[14] 马斌荣. 医学统计会[M]. 第4版. 北京: 人民卫生出版社, 2005: 36-38.
[15] Steinberg, C.E.W., Lorenz, R. and Spieser, O.H. (1995) Effects of Atrazine on Swimming Behavior of Zebrafish, Brachydanio rerio. Water Research, 29, 981-985. [Google Scholar] [CrossRef
[16] Wolf, G., Scheunders, P. and Selens, M. (1998) Evaluation of the Swimming Activity of Daphnia magna by Image Analysis after Administration of Sublethal Cadmium Concentrations. Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology, 120, 99-105. [Google Scholar] [CrossRef
[17] Tahedl, H. and Häder, D.-P. (1999) Fast Examination of Water Quality Using the Automatic Biotest ECOTOX Based on the Movement Behavior of a Freshwater Flagellate. Water Research, 33, 426-432. [Google Scholar] [CrossRef
[18] Stoeckel, J.A., González, M.J., Oris, J.T., Kovach, M.J. and Mace, K.M. (2008) Atrazine and Increased Male Production by Daphnia: The Importance of Combining Field and Laboratory Approaches. Environmental Toxicology and Chemistry, 27, 2352-2360. [Google Scholar] [CrossRef] [PubMed]
[19] Hader, D., Erzinger, G.S., Dabrunz, R., Rosenfeldt, R., et al. (2017) Three-Dimensional Analysis of the Swimming Behavior of Daphnia magna Exposed Ti Nanosized Titanium Dioxide. Chemosphere, 167, 228-235.
[20] Storey, M.V., van der Gaag, B. and Burns, B.P. (2011) Advances in On-Line Drinking Water Quality Monitoring and Early Warning Systems. Water Research, 45, 741-747. [Google Scholar] [CrossRef] [PubMed]