Literature DB >> 22439589

Modeling nonspecific toxicity of organic compounds to the fathead minnow fish by means of chromatographic systems.

Marta Hidalgo-Rodríguez1, Elisabet Fuguet, Clara Ràfols, Martí Rosés.   

Abstract

The performance of chromatographic systems to mimic aquatic toxicity to the fathead minnow fish is evaluated taking into account the factors that contribute to the variance of biological-chromatographic correlations. These factors are the precision to measure the fathead minnow toxicity, the precision of the surrogate chromatographic system, and the error from the dissimilarity between the fathead minnow and chromatographic systems. The precisions are estimated through the characterization of the systems by the solvation parameter model. Several chromatographic systems as well as the common reference octanol-water partition system have been selected to test their ability to model the nonspecific toxicity to the fathead minnow by means of the proposed approach. Predictions and experimental tests show that the micellar electrokinetic chromatography system of sodium taurocholate and chromatographic measurements using an immobilized artificial membrane column provide the most precise estimations of this biopartitioning property. The octanol-water partition system, the conventional C18 high-performance liquid chromatography systems, and the micellar electrokinetic chromatography system of sodium dodecylsulfate show worse performances.

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Year:  2012        PMID: 22439589     DOI: 10.1021/ac2034453

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  1 in total

1.  A joint optimization QSAR model of fathead minnow acute toxicity based on a radial basis function neural network and its consensus modeling.

Authors:  Yukun Wang; Xuebo Chen
Journal:  RSC Adv       Date:  2020-06-04       Impact factor: 4.036

  1 in total

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