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基于 FeO@MIP 和氧化石墨烯修饰碳糊电极的简单、灵敏、高效电化学平台用于不同基质中叶酸的测定。

A simple, sensitive and efficient electrochemical platform based on carbon paste electrode modified with FeO@MIP and graphene oxide for folic acid determination in different matrices.

机构信息

Chemistry Institute, São Paulo State University (UNESP), 14801-970, Araraquara, SP, Brazil; National Institute for Alternative Technologies of Detection, Toxicological Evaluation and Removal of Micropollutants and Radioactives (INCT-DATREM), Araraquara, SP, Brazil.

Chemistry Institute, São Paulo State University (UNESP), 14801-970, Araraquara, SP, Brazil; National Institute for Alternative Technologies of Detection, Toxicological Evaluation and Removal of Micropollutants and Radioactives (INCT-DATREM), Araraquara, SP, Brazil.

出版信息

Talanta. 2021 Jul 1;229:122258. doi: 10.1016/j.talanta.2021.122258. Epub 2021 Mar 15.

DOI:10.1016/j.talanta.2021.122258
PMID:33838769
Abstract

A new biomimetic sensor selective to folic acid based on a carbon paste modified with graphene oxide and FeO nanoparticles coated with molecularly imprinted polymer in the core@shell format (FeO@MIPs) was obtained using the polyol method. The sensing phase was synthesized in a simple way and characterized by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and Brunauer-Emmett-Teller (BET) surface area. In the binding experiments the selective material showed a high adsorption capacity (Q) of 30.4 mg g for MMIP, while the Q value for MNIP (magnetic non-imprinted polymer) was 15.3 mg g both of them following the Langmuir model to the adsorption procedure. After their efficiency was proven, these materials were used as modifiers in the electrochemical sensor (FeO@MIP-GO/CPE). Under optimized conditions using the square-wave adsorptive voltammetry, the proposed sensor exhibited excellent response with a concentration linear range between 2.5 and 48 μmol L and limit of detection of 0.65 μmol L (S/σ = 3). The advantages obtained with the proposed method were high robustness, selectivity, and low cost being these characteristics due to the MIP; highly sensibility due to the high superficial area being the contribution of the magnetite in the core of material; and experimentally versatile since was possible carry out numerous reproductible analysis only make the renovation of the paste electrode surface by simple polishing. The sensor was applied successfully in pharmaceutical formulation and river water samples with recoveries percentages near 100%.

摘要

一种基于氧化石墨烯和 FeO 纳米粒子修饰的碳糊的新型仿生叶酸传感器,采用多元醇法获得,其核壳结构为 FeO@MIPs(分子印迹聚合物)。传感相以简单的方式合成,并通过扫描电子显微镜(SEM)、傅里叶变换红外光谱(FTIR)和 Brunauer-Emmett-Teller(BET)表面积进行了表征。在结合实验中,选择性材料显示出高吸附容量(Q),MMIP 为 30.4 mg g,而 MNIP(磁性非印迹聚合物)的 Q 值为 15.3 mg g,两者均遵循 Langmuir 模型进行吸附过程。在证明了它们的效率之后,这些材料被用作电化学传感器(FeO@MIP-GO/CPE)中的修饰剂。在优化条件下,使用方波吸附伏安法,所提出的传感器表现出优异的响应,浓度线性范围在 2.5 至 48 μmol L 之间,检测限为 0.65 μmol L(S/σ = 3)。与所提出的方法相关的优点是高稳健性、选择性和低成本,这是由于 MIP;高灵敏度是由于材料核心中的磁铁矿的高表面积,以及实验通用性,因为可以通过简单的抛光来进行多次可重复的分析,只需对糊电极表面进行翻新。该传感器成功地应用于药物制剂和河水样品中,回收率接近 100%。

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