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UCrea
Article . 2011
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Modelo de contribución de grupos para la estimación de la ecotoxicidad de líquidos iónicos

Group contribution model for ecotoxicity estimation of ionic liquids
Authors: Álvarez Guerra, Manuel; Luis Alconero, Patricia; Irabien Gulías, Ángel;

Modelo de contribución de grupos para la estimación de la ecotoxicidad de líquidos iónicos

Abstract

RESUMEN: Los líquidos iónicos son sales orgánicas líquidas por debajo de los 100ºC e incluso a temperatura ambiente (Room Temperature Ionic Liquids, RTILs), con interesantes propiedades que los convierten en compuestos muy atractivos para diferentes aplicaciones. Debido a su muy baja (prácticamente nula) volatilidad, esta nueva familia de compuestos químicos reduce significativamente su potencial como contaminante atmosférico. Sin embargo, un gran número de líquidos iónicos presentan una elevada solubilidad en agua y su impacto en el medioambiente acuático debe ser evaluado, antes de su aplicación. Asimismo, dado el gran número de compuestos que puede ser sintetizado (más de 106 compuestos puros) es necesario desarrollar modelos matemáticos que permitan realizar estimaciones del parámetro de interés minimizando las medidas experimentales y el consecuente consumo de tiempo y recursos materiales. En este trabajo, se presenta un modelo de contribución de grupos para estimar el impacto de los líquidos iónicos sobre el medio ambiente acuático mediante la ecotoxicidad (EC50), evaluada a través del ensayo homologado con la bacteria bioluminiscente marina Vibrio fischeri. Para ello se desarrolla un modelo cuantitativo QSAR (Quantitative Structure Activity Relationship) que relaciona la ecotoxicidad con la estructura del líquido iónico y permite dirigir la selección de los líquidos iónicos con este criterio.

ABSTRACT: Ionic liquids are organic salts that are liquid below 100 ºC and even at room temperatura (Room Temperature Ionic Liquids, RTILs), with interesting properties that turn them into very attractive compounds for different applications. Due to their very low (almost negligible) volatility, this new family of chemical compounds significantly reduces its potential as atmospheric pollutant. However, a great number of ionic liquids have high solubility in water and their impact in the aquatic environment should be assessed, before their application. Likewise, since a huge number of compounds can be synthesised (more than 106 pure compounds), it is necessary to develop mathematical models that could make it possible to estimate the parameter of interest, minimising the experimental measures and the consequent consumption of time and material resources. In this work, a group contribution model is presented to estimate the impact of ionic liquids on the aquatic environment by means of the ecotoxicity (EC50), evaluated using the standardized assay with the bioluminescent bacteria Vibrio fischeri. To this end, a quantitative QSAR (Quantitative Structure Activity Relationship model is developed, which relates the ecotoxicity to the ionic liquid structure and allows guiding the selection of ionic liquids with this criterion.

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Spain
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Keywords

ecotoxicidad; EC50 Vibrio fischeri; líquidos iónicos; método de contribución de grupos; QSAR, Ecotoxicidad, QSAR, EC50 Vibrio fischer, Ecotoxicity, Líquidos iónicos, Método de contribución de grupos, Group contribution method, Ionic liquids

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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