College of Chemistry and Molecular Engineering, Zhengzhou University, Zhengzhou 450001, PR China.
North China University of Water Resources and Electric Power, Zhengzhou 450045, PR China.
Talanta. 2019 May 15;197:68-76. doi: 10.1016/j.talanta.2019.01.009. Epub 2019 Jan 4.
A special electrochemical sensor was developed based on molecularly imprinted polymer (MIP), which was formed by the dopamine (DA) self-polymerization on the surface of Pd-Cu bimetallic alloy functionalized poly (diallyldimethylammonium chloride) -dispersed graphene (PDDA-Gr). This sensor takes advantages of molecularly imprinted technique and nanocomposite to realize the application of amaranth determination with high selectivity and sensitivity. In this study, the nanocomposite PDDA-Gr-(Pd-Cu) characterized by various techniques provides large surface area and accelerates the electron transfer process. The imprinted composite deposited on the surface of PDDA-Gr-(Pd-Cu), not only provides abundant specific cavities to amaranth, but also decreases the thickness of molecularly imprinted polymer leading to high conductivity. The electrochemical behavior of amaranth on the modified electrode was studied by cyclic voltammetry (CV) and differential pulse voltammetry (DPV). After optimization, the anodic peak current showed a linear relationship with the concentration of amaranth in the range of 0.006-10 μM, and the limit of detection (LOD) was 2 nM. The proposed sensor distinguished amaranth from other structurally similar substances such as sunset yellow and tartrazine with good results. In addition, the molecularly imprinted sensor proposed in this study was successfully applied to determine amaranth in the soft drink with satisfactory recoveries.
一种基于分子印迹聚合物（MIP）的特殊电化学传感器被开发出来，该聚合物是由多巴胺（DA）在钯-铜双金属合金功能化聚二烯丙基二甲基氯化铵-分散石墨烯（PDDA-Gr）表面自聚合形成的。该传感器利用分子印迹技术和纳米复合材料实现了苋菜的高选择性和高灵敏度测定。在这项研究中，通过各种技术对纳米复合材料 PDDA-Gr-（Pd-Cu）进行了表征，提供了较大的表面积并加速了电子转移过程。印迹复合材料沉积在 PDDA-Gr-（Pd-Cu）的表面上，不仅为苋菜提供了丰富的特定腔，而且还减小了分子印迹聚合物的厚度，从而提高了导电性。通过循环伏安法（CV）和差分脉冲伏安法（DPV）研究了苋菜在修饰电极上的电化学行为。经过优化，阳极峰电流在 0.006-10 μM 的苋菜浓度范围内呈线性关系，检测限（LOD）为 2 nM。该传感器成功地从日落黄和柠檬黄等结构类似的物质中区分出苋菜，具有良好的效果。此外，本研究提出的分子印迹传感器成功地应用于软饮料中苋菜的测定，回收率令人满意。
