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Molecularly Imprinted Polymers for Selective Extraction and Determination of Toxic Herbicide Bentazon in Water Samples Using Liquid Chromatography and Assessment of Mean Square Error Using Artficial Neural Network Model

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Abstract

In this article, a molecularly imprinted polymer-solid phase extraction (SPE)-liquid chromatography method was developed to isolate toxic bentazon in surface water. The molecularly imprinted polymer (MIP) consisted of methacrylic acid as a functional monomer, ethylene glycol dimethacrylate as a crosslinking monomer, and α,α′-azoisobutyronitrile as an initiator for polymer preparation. To evaluate the applicability of the imprinted polymer as a selective sorbent, general parameters, such as pH, amount of loading solvents, washing solution, eluent, and time, were optimized following a step-by-step approach. Under the optimum conditions, the linear range was between 0.05 and 1.0 µg/L. The standard deviation of 2.2% and the method detection limit of 0.05 µg/L were obtained. The recoveries up to approximately 97.0% from spiked surface water samples could be obtained. The observed outcomes confirmed the suitability of the artificial neural network model as a tool for mean square error of bentazon on MIP-SPE (0.018) and non-imprinted polymer-SPE (0.029) selectivity and permeability. The proposed molecularly imprinted polymer-solid phase extraction-liquid chromatography method could be applied to the direct determination of toxic bentazon in water samples.

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ACKNOWLEDGMENTS

The authors gratefully acknowledge the support of this work by the Islamic Azad University, Branch of Dashtestan, Iran.

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Authors and Affiliations

  1. Department of Chemistry, Dashtestan Branch, Islamic Azad University, Dashtestan, Iran

    Alireza Geramizadegan & Leila Niknam

  2. Department of Chemistry, Islamshahr Branch, Islamic Azad University, Islamshahr, Iran

    Elham Pournamdari

Authors
  1. Alireza Geramizadegan
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  2. Leila Niknam
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  3. Elham Pournamdari
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Correspondence to Alireza Geramizadegan or Elham Pournamdari.

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Geramizadegan, A., Niknam, L. & Pournamdari, E. Molecularly Imprinted Polymers for Selective Extraction and Determination of Toxic Herbicide Bentazon in Water Samples Using Liquid Chromatography and Assessment of Mean Square Error Using Artficial Neural Network Model. J Anal Chem 78, 572–581 (2023). https://doi.org/10.1134/S1061934823050052

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