Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/162022
Title: Modeling aquatic toxicity through chromatographic systems
Author: Fernández-Pumarega, Alejandro
Amézqueta, Susana
Farré, Sandra
Muñoz-Pascual, Laura
Abraham, Michael H.
Fuguet i Jordà, Elisabet
Rosés Pascual, Martí
Keywords: Cromatografia
Micel·les
Contaminació de l'aigua
Chromatography
Micelles
Water pollution
Issue Date: 1-Aug-2017
Publisher: American Chemical Society
Abstract: Environmental risk assessment requires information about the toxicity of the growing number of chemical products coming from different origins that can contaminate water and become toxicants to aquatic species or other living beings via the trophic chain. Direct toxicity measurements using sensitive aquatic species can be carried out but they may become expensive and ethically questionable. Literature refers to the use of chromatographic measurements that correlate to the toxic effect of a compound over a specific aquatic species as an alternative to get toxicity information. In this work, we have studied the similarity in the response of the toxicity to different species and we have selected eight representative aquatic species (including tadpoles, fish, water fleas, protozoan, and bacteria) with known nonspecific toxicity to chemical substances. Next, we have selected four chromatographic systems offering good perspectives for surrogation of the eight selected aquatic systems, and thus prediction of toxicity from the chromatographic measurement. Then toxicity has been correlated to the chromatographic retention factor. Satisfactory correlation results have been obtained to emulate toxicity in five of the selected aquatic species through some of the chromatographic systems. Other aquatic species with similar characteristics to these five representative ones could also be emulated by using the same chromatographic systems. The final aim of this study is to model chemical products toxicity to aquatic species by means of chromatographic systems to reduce in vivo testing.
Note: Versió postprint del document publicat a: https://doi.org/10.1021/acs.analchem.7b01301
It is part of: Analytical Chemistry, 2017, vol. 89, num. 15, p. 7996-8003
URI: http://hdl.handle.net/2445/162022
Related resource: https://doi.org/10.1021/acs.analchem.7b01301
ISSN: 0003-2700
Appears in Collections:Articles publicats en revistes (Enginyeria Química i Química Analítica)

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