Determination of amount herbicide toxic fenpyroximate in surface water by analysis molecularly imprinted solid phase extraction method and relative error assessment using artificial neural network model
被引:7
作者:
Geramizadegan, Alireza
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机构:
Islamic Azad Univ, Fac Sci, Dept Chem, Kerman Branch, Kerman, IranIslamic Azad Univ, Fac Sci, Dept Chem, Kerman Branch, Kerman, Iran
Geramizadegan, Alireza
[1
]
Ghazanfari, Dadkhoda
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机构:
Islamic Azad Univ, Fac Sci, Dept Chem, Kerman Branch, Kerman, IranIslamic Azad Univ, Fac Sci, Dept Chem, Kerman Branch, Kerman, Iran
Ghazanfari, Dadkhoda
[1
]
Amiri, Aliasghar
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Islamic Azad Univ, Fac Sci, Dept Appl Chem, Shiraz Branch, Shiraz, IranIslamic Azad Univ, Fac Sci, Dept Chem, Kerman Branch, Kerman, Iran
Amiri, Aliasghar
[2
]
机构:
[1] Islamic Azad Univ, Fac Sci, Dept Chem, Kerman Branch, Kerman, Iran
[2] Islamic Azad Univ, Fac Sci, Dept Appl Chem, Shiraz Branch, Shiraz, Iran
This work describes the development of an analytical methodology to determine toxic fenpyroximate in surface water using molecularly imprinted polymers (MIPs) as the extraction and pre-concentration material, followed by high performance liquid chromatography. A new molecularly imprinted polymer, prepared following a non-covalent approach, was synthesised using toxic fenpyroximate as the template molecule, methacrylic acid as a functional monomer, and ethylene glycol dimethacrylate as a cross-linker. A method for the determination of traces of toxic fenpyroximate was developed using this polymer as the enrichment sorbent coupled with high performance liquid chromatography focusing on surface water samples. The calibration curve was linear in the range of 0.1 to 1.0 mu g L-1. The standard deviation is 2.9%, and the detection limit of the method is 0.2 mu g L-1 and r(2) = 0.9869. The observed outcomes confirmed the suitability recovery and a very low detection limit for measuring toxic fenpyroximate. It was demonstrated that the proposed MI-SPE-HPLC method could be applied for direct determination of toxic fenpyroximate in surface water. The observed outcomes confirmed the suitability of the artificial neural network model as a tool for MSE (mean square error) of fenpyroximate on (MSEANN = 0.41, MSEFL = 0.36 and MSEANFIS = 0.23) selectivity and permeability. It was demonstrated that the proposed MI-SPE-HPLC method could be applied for direct determination of toxic fenpyroximate in surface water.