Determination of bioconcentration potential of tetrachloroethylene in marine algae by 13C |
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| Affiliation: | 1. Department of Chemistry, Ocean University of Qingdao, Qingdao 266003, P.R. China;2. National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305, Japan;3. Department of Industrial Chemistry, Science University of Tokyo, 1-3 Kagurazaka, Shinjuku-ku, Tokyo 162, Japan;1. Federal Technological University of Paraná, CEP 85503-390, PatoBranco, PR, Brazil;2. Universidad Autonoma de Madrid, Crta. Colmenar km 15, 28049, Madrid, Spain;1. Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 21008, China;2. University of Chinese Academy of Sciences, Beijing, 100049, China;3. Nanjing Kangdi Environmental Protection Technology Co., LTD, Nanjing, 21008, China;1. School of Public Health, & Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, 200032, China;2. UNM Department of Internal Medicine, Division of Epidemiology, Biostatistics and Preventive Medicine, University of New Mexico, MSC10 5550, Albuquerque, USA;3. School of Public Health, Curtin University, Perth, Australia;4. University of Medicine, Pharmacy, Sciences and Technology, Targu Mures, Romania;5. Shantou University Medical College, Shantou, China;1. Foundation for Research and Technology Hellas – Institute of Chemical Engineering Sciences, Stadiou Street, Platani, 26504 Patras, Greece;2. Department of Chemical Engineering, University of Patras, 26504 Patras, Greece;3. Department of Mechanical Engineering, Technological Educational Institute of Western Greece, M. Alexandrou 1, Koukouli, 26334 Patras, Greece;1. Sorbonne Universités, UPMC Univ Paris 06, UMR 7208, Adaptation aux Milieux Extrêmes, Paris, France;2. UMR, MNHN, UPMC, CNRS, IRD, UCBN 7208, Biologie des Organismes Aquatiques et Ecosystèmes, 75005 Paris, France;3. Sorbonne Universités, UPMC Univ Paris 06, UMR 7144, Equipe ABICE, Station Biologique de Roscoff, 29680 Roscoff, France;4. CNRS, UMR 7144, Adaptation et Diversité en Milieu Marin, Station Biologique de Roscoff, 29680 Roscoff, France;5. Institut Universitaire de France, Paris, France;1. MARE- Marine and Environmental Sciences Centre, Faculdade de Ciências e Tecnologia, Universidade de Coimbra, 3004-517, Coimbra, Portugal;2. SEAentia - Science Based Aquaculture, Parque Tecnológico de Cantanhede, Núcleo 04, Lote 2, 3060-197, Cantanhede, Portugal;3. CIIMAR- Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Edifício do Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos, s/n, 4450-208, Matosinhos, Portugal;4. Institute of Hydrobiology, Biology Centre of the Czech Academy of Sciences, Na Sádkách 7, 370 05, České Budějovice, Czech Republic;5. FCUP – Department of Biology, Faculty of Sciences, University of Porto, Porto, Portugal;6. School of Biological Sciences, Faculty of Sciences, University of Portsmouth, Institute of Marine Sciences Laboratories, Langstone Harbour, Ferry Road, Eastney, Portsmouth, P04 9LY, UK |
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| Abstract: | The use of stable isotope of organic-carbon, organic-13C, as a tracer for the determination of the concentration of tetrachloroethylene (PCE), CA, in Heterosigma akashiwo and Skeletonema costatum was examined. CA determined by the 13C and GC methods showed good agreement with each other. This suggests that it is reasonable and reliable to determine the bioconcentration potentail of PCE in marine algae. Fitting values of bioconcentration potentail parameters, including uptake rate constant k1, elimination rate constant k2 and bioconcentration factor on the basis of dry weight BCFD, were done not only to the time course for PCE uptake by the algae with the bioconcentration model, but also to experimental data for “percent inhibition(%)∼exposure concentration of PCE∼time” with the combined bioconcentration and probability model. The values obtained from the bioconcentration model were consistent with those from the combined bioconcentration and probability model. With the parameters (such as k1, k2, growth rate constant kG, critical concentration of HOCs in the organism resulting in growth inhibition CA1 and spread factor S) the variability in toxicity (such as EC10, EC50, EC70) can be estimated from the combined bioconcentration and probability model, which fits well with the experimental observations. |
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