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Acute Effects Of Single And Mixed Polycyclic Aromatic Hydrocarbons Associated To Oil Spills On The Copepod Oithona Davisae. Carlos Barata 1, Albert Calbet 2, Enric Sainz 2, Laura Ortíz 3, Josep Maria Bayona 3. 1 Laboratory of Environmental Chemistry, UPC, Terrassa 2 Dept. Biologia Marina i Oceanografia, CMIMA, CSIC, Barcelona 3 Dept of Environmental Chemistry, IIQAB-CSIC, Barcelona
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Acknowledgements Financial Support: MEC Spanish project PETROZOO (VEM2003- 20037). MEC R y C contract to Carlos Barata and Albert Calbet
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Objectives Develop a modelling framework to predict the toxicity of mixture combinations of petrogenic PAHs in copepod species
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Effects of crude oil spills in marine planktonic food webs??? zooplankton species constitute the major food source for larval fish Overview – in brief
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Polycyclic aromatic hydrocarbons (PAHs) Log K ow Toxicity – EC50 Toxicity by non-polar narcosis 1.Toxicity = F (1/log K ow ) 1. Most toxic and persistent components of class 2 fuel oils (Prestige) 2. Occur in complex mixtures Environmental fate 2.Toxicity complex mixtures is additive Effect PAHs
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Methods Measured variables: Lethal, Narcosis– after 48 h (%) Test Species: Oithona davisae Chemicals: Naphthalene, 1-methylnaphthalene, 1,2-Dimethylnaphthalene Phenanthrene,1-methylphenanthrene,3,6-dimethylphenanthrene Fluorene, Dibenzothiophene, Pyrene Analysis: SP -HPLC-UV
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Experimental design Exposure scenarios Individual exposures 10 PAHs Mixture combination of only 9 PAHs using an equitox ratio C i = EC50 j / n ; n= 9; C j = 1/9 TU j Experimental conditions: No food supply, filtered sea water (38 0/00 ) 20 o C
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Data analysis i i i PAHEC control mobileMobile 50 % Modeling % responses: Allosteric decay function Survival PAHs ( mol/L) 0 50 100
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Data analysis Modelling single and mixture toxicities (EC50) of PAH j : bloga 50 1 owj j K EC Log K ow EC50 Single - Quantitative Structure Activity Relationship (QSAR) n j j j ECx c 1 1, For c j = EC 50 j /n; 1 = 50% Mixture - Concentration Addition model
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Results- Single solutions Naphthalenes (% mobile vs Control) 020406080 0 50 100 010203040 051015 0 50 100 PAHs ( mol/L) NN1 N2 Narcosis, survival
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Results- Single solutions Phenanthrenes (% mobile vs control) PAHs ( mol/L) Narcosis, survival 0369 0 50 100 0123 0 50 100 P P1
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Results- Single solutions Rest of PAHs (% mobile vs control) 0246810 0 50 100 024 0.00.30.60.9 0 50 100 0.00.20.40.6 Narcosis, survival PAHs ( mol/L) FDBT FtPy
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Results- QSAR Log K ow 3.03.54.04.55.05.5 0.5 1.0 2.0 5.0 20.0 60.0 NarcotizationSurvival N N1 P1 F DBT N2 P Py Ft EC 50( mol/L) R 2 =0.9 5log1 50 1 owj j K EC Log
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Results- Mixtures Mixture of 9 PAHs at their EC50/9 0123 0 25 50 75 100 125 Toxic Units = 1 = Survival Narcotization (% mobile vs control EC 50 = 1.1 (0.9-1.3) 9 j j 9 EC50 1
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Conclusions 3. Mixture toxicity of PAHs was additive following the CA model. 1. Allosteric decay function predicted accurately acute responses 2. Acute responses were inversely related to log Kow QSAR 9 PAH = Daphnia magna QSAR >100 non polar narcotics
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Risk Assessment Implications 1101001000 0.1 1 10 100 1000 NaphthaleneAlkylated Naphthalenes EC 50 ( g/L) Number Mixture components Prestige Highest Background
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Future Work 2. How toxicity of real samples (elutriates or water –accommodated fractions of fuel Oil) can be predicted from Chemical analysis using QSAR models 1.Derive QSAR models for sublethal responses 2.9log0.9 50 1 owj j K EC Log Clearance rates (feeding) 3456 182 14 N N2 g/L Kow Prestige 50
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Thanks END Environmental Toxicology and Chemistry. Volume 24, No. 11, November 2005.
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