首页> 外文期刊>Biosensors & Bioelectronics: The International Journal for the Professional Involved with Research, Technology and Applications of Biosensers and Related Devices >Electrochemical sensor using methimazole imprinted polymer sensitized with MWCNTs and Salen-Co(III) as recognition element
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Electrochemical sensor using methimazole imprinted polymer sensitized with MWCNTs and Salen-Co(III) as recognition element

机译:电化学传感器,使用甲基苯并咪唑印迹的聚合物以MWCNTs和Salen-Co(III)敏化为识别元素

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摘要

This study describes the development of a sensor with molecularly imprinted polymer (MIP) sensitized with MWCNTs and Salen-Co(III) as recognition element for methimazole (MMI) determination. This is the first report of MWCNTs and Salen-Co(III) in MIP being used to enhance its conductivity and catalytic activity in the electrochemical oxidation process. The electrocatalytic mechanism of MMI was explained in detail by evaluating the obtained voltammograms at various potential sweep rates and pH of buffer solutions. A stable, sensitive analytical method of differential pulse voltammetry (DPV) was developed using the prepared MWCNTs-Salen-Co(III)-MIP electrode for the determination of amounts of MMI, resulting in a linear range of 0.5-6.0mgL ~(-1) with detection limit of 0.048mgL ~(-1). It was also successfully applied for MMI determination in tablets and spiked urine sample. At three concentration levels, the recoveries for two samples were achieved to 94.0-100.1% and 87.8-101.8%, respectively. Analytical reproducibility and stability of the developed method were also evaluated by RSD, which were calculated as 4.6-6.6% and 2.0-6.1% (n=3), respectively.
机译:这项研究描述了一种用分子印迹聚合物(MIP)敏化的传感器的开发,该分子印迹聚合物被MWCNT和Salen-Co(III)敏化为甲基异丁唑(MMI)测定的识别元素。这是MWCNT和Salen-Co(III)在MIP中用于增强其在电化学氧化过程中的电导率和催化活性的首次报道。通过评估在各种电位扫描速率和缓冲溶液的pH下获得的伏安图,详细解释了MMI的电催化机理。使用制备的MWCNTs-Salen-Co(III)-MIP电极开发了一种稳定,灵敏的差分脉冲伏安(DPV)分析方法,用于测定MMI的量,线性范围为0.5-6.0mgL〜(- 1)的检出限为0.048mgL〜(-1)。它也成功地用于片剂和加标尿液样品中MMI的测定。在三个浓度水平下,两个样品的回收率分别达到94.0-100.1%和87.8-101.8%。还通过RSD评估了所开发方法的分析重现性和稳定性,分别为4.6-6.6%和2.0-6.1%(n = 3)。

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