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Voltammetric Determination of Carbofuran Pesticide in Biological and Environmental Samples using a Molecularly Imprinted Polymer Sensor, a Multivariate Optimization
Journal of Analytical Chemistry ( IF 1.0 ) Pub Date : 2020-05-06 , DOI: 10.1134/s1061934820050068 Monireh Khadem , Farnoush Faridbod , Parviz Norouzi , Abbas Rahimi Foroushani , Mohammad Reza Ganjali , Rasoul Yarahmadi , Seyed Jamaleddin Shahtaheri
中文翻译:
分子印迹聚合物传感器,多变量优化,用于伏安法测定生物和环境样品中的呋喃丹农药
更新日期:2020-05-06
Journal of Analytical Chemistry ( IF 1.0 ) Pub Date : 2020-05-06 , DOI: 10.1134/s1061934820050068 Monireh Khadem , Farnoush Faridbod , Parviz Norouzi , Abbas Rahimi Foroushani , Mohammad Reza Ganjali , Rasoul Yarahmadi , Seyed Jamaleddin Shahtaheri
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.中文翻译:
分子印迹聚合物传感器,多变量优化,用于伏安法测定生物和环境样品中的呋喃丹农药