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| Submitter's Name |
Is Rodea-Palomares |
| Session Name |
Emerging Diseases and Contaminants in Florida Waters - 2 |
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| Author(s) |
Ismael Rodea-Palomares, Hydrology & Water Quality. Agricultural & Biological Engineering Faculty. University of Florida. Florida, USA (Presenting Author) |
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Rafael Muñoz-Carpena,
Hydrology & Water Quality. Agricultural & Biological Engineering Faculty. University of Florida. Florida, USA |
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Miguel Gonzalez-Pleiter, Departamento de Biología, Facultad de Ciencias, Universidad Autónoma de Madrid. 28049 Madrid, Spain |
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Francisca Fernández-Piñas, Departamento de Biología, Facultad de Ciencias, Universidad Autónoma de Madrid. 28049 Madrid, Spain |
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Roberto Rosal, Departamento de Ingeniería Química, Universidad de Alcalá, E-28871, Alcalá de Henares, Madrid, Spain |
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GSUA-EBS as a way forward to understand combined effects of chemical mixtures and environmental factors? |
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Current methodologies applied to characterize the effect of suspect substances, such as emerging micropollutants (EMPs) are based on the classical dose-response approach [1]. However, present efforts pose on the identification and prioritization of new emerging pollutants are hampered by some practical difficulties when trying to apply the dose-effect paradigm: In the best cases, clear monotonic dose-response profiles are found at high doses (orders of magnitude higher than relevant ones for realistic exposures). However, very common situations are also the inexistence of monotonicity, non-concentration dependent statistically significant effects at low dosis, statistically significant interactions of individually non-active substances, and/or biotic and abiotic factors. In addition, combined effects of environmenta factors such as natural stressor or climate change are can´t be included in praxis in current risk assessment approaches. In the present work we applied a new experimental framework for the effect-based identification of hazardous micropollutants (pharmaceutical pollutants) in combination with environmental variables. The metodology, we called GSUA-EBS, consists in incorporating Global Sensitivity and Uncertainty Analysis (GSUA) family tools to assist Effect-Based Screening (EBS) of suspect substancies. GSUA tools are top-down approaches which serve to identify important factors driving a system´s response independenty of any mechanistic assumption, such as linearity, additivity or MoA. In the present study, we used the gobal sensitivity computational screening tool known as Morris Method [2] to study main drivers controling usually found in freshwaters. The effect of one environemntal factor (light intensity) was also included in the analysis as an example of the open possibilities that GSUA-EBS offers to experimental ecotoxicologists.
1 Altenburger R, Backhaus T, Boedeker W, Faust M, Scholze M (2013) Simplifying complexity: Mixture toxicity assessment in the last 20 years. Environmental toxicology and chemistry / SETAC 32: 1685-1687.
2 Morris MD (1991) Factorial sampling plans for preliminary computational experiments. Technometrics 33: 161-174.
Acknowledgement - The authors thank funding by MINECO grants CGL2010-15675 and CTM2013-45775-C2-2-R |
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