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Voltammetric Determination of Carbofuran Pesticide in Biological and Environmental Samples Using a Molecularly Imprinted Polymer Sensor, a Multivariate Optimization Publisher



Faridbod F2 ; Norouzi P2 ; Foroushani AR3 ; Ganjali MR2 ; Yarahmadi R4 ; Shahtaheri SJ5
Authors
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Authors Affiliations
  1. 1. Department of Occupational Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Center of Excellence in Electrochemistry, School of Chemistry, College of Science, University of Tehran, Tehran, Iran
  3. 3. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Department of Occupational Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Occupational Health Engineering, School of Public Health, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran

Source: Journal of Analytical Chemistry Published:2020


Abstract

Abstract: Increasing application of pesticides and their toxicity made it essential to develop reliable and accurate methods of their trace quantification. This research was aimed to develop an electrochemical nanocomposite sensor based on molecularly imprinted polymer (MIP) for selective and sensitive determination of carbofuran. The proposed sensor was made based on incorporation of carbofuran MIP in the carbon paste. The square wave voltammetric (SWV) method was applied for the electrochemical measurements. The experimental design was then used to optimize parameters affecting the sensor response according to selected experimental domain. The obtained linear range after optimization of the parameters was from 1 × 10–9 to 1 × 10–6 M. The calculated detection limit was 3 × 10–10 M. Under optimized extraction and determination conditions, the proposed modified sensor indicated the considerable sensitivity and selectivity to determine carbofuran in some real samples (human urine, tap and river water) without any special sample pre-treatment before the analysis. © 2020, Pleiades Publishing, Ltd.