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Quantitative structure-retention relationship for retention behavior of organic pollutants in textile wastewaters and landfill leachate in LC-APCI-MS

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Abstract

Introduction

A quantitative structure-retention relation (QSRR) study was conducted on the retention times of organic pollutants in textile wastewaters and landfill leachate which was obtained by liquid chromatography-reversed phase-atmospheric pressure chemical ionization-mass spectrometry.

Methods

The genetic algorithm was used as descriptor selection and model development method. Modeling of the relationship between selected molecular descriptors and retention time was achieved by linear (partial least square) and nonlinear (Levenberg-Marquardt artificial neural network, L-M ANN) methods. Linear and nonlinear models provide good results whereas more accurate results were obtained by the L-M ANN model.

Conclusion

This is the first research on the QSRR of the organic pollutants in textile wastewaters and landfill leachate against the retention time.

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Authors and Affiliations

  1. Department of Chemistry, Faculty of Sciences, Arak Branch, Islamic Azad University, Arak, Iran

    Hadi Noorizadeh & Abbas Farmany

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  1. Hadi Noorizadeh
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  2. Abbas Farmany
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Correspondence to Hadi Noorizadeh.

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Responsible editor: Philippe Garrigues

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Noorizadeh, H., Farmany, A. Quantitative structure-retention relationship for retention behavior of organic pollutants in textile wastewaters and landfill leachate in LC-APCI-MS. Environ Sci Pollut Res 19, 1252–1259 (2012). https://doi.org/10.1007/s11356-011-0650-x

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  • DOI: https://doi.org/10.1007/s11356-011-0650-x

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