白坚木皮醇分子印迹电化学传感器的构建

以白坚木皮醇为模板分子，邻苯二胺为功能单体，在纳米金/羧基化碳纳米管/壳聚糖修饰的玻碳电极表面采用电聚合法合成分子印迹膜，制备出白坚木皮醇分子印迹电化学传感器。扫描电镜观测传感器不同修饰阶段的形貌特征，发现各修饰材料均修饰在电极表面。循环伏安法、差分脉冲伏安法分析其电化学特性，表明纳米金和羧基化碳纳米管复合材料共同作用显著提高了电极分析的灵敏度。对分子印迹传感器的制备条件和检测条件进行了优化，得出模板分子与功能单体的最佳摩尔比为1:10，最佳电聚合圈数为25圈，最佳电聚合速度为100 mV/s，最适洗脱时间为12 min，检测最适吸附时间为8 min，吸附溶液最佳p H值为7。在最优实验条件下，分子印迹传感器的峰电流与白坚木皮醇的浓度呈良好的成线性关系，具有较低的检测限，加标回收率在97.44%～106.19%之间。该法具有良好的选择性、重现性和稳定性，拓展了电化学传感器在食品和医药领域的研究。

Construction of Molecularly Imprinted Electrochemical Sensor for Quebrachitol

A molecularly imprinted electrochemical sensor was prepared using quebrachitol as the template molecule and o-phenylenediamine as functional monomer via electropolymerization on the surface of a glassy carbon electrode modified with nanogold particles/carboxylated carbon nanotubes/chitosan to form a molecularly imprinted film. Scanning electron microscopy examination of the morphology characteristics of the sensor at different modification stages revealed that all the modification materials were modified on the electrode surface. The electrochemical properties of the sensor were studied by of cyclic voltammetry and differential pulse voltammetry, and it was found that the combination of nanogold and carboxylated carbon nanotubes composites could significantly improve the sensitivity of the electrode. The preparation and detection conditions of the molecularly imprinted sensor were optimized, and the results showed that the optimal molar ratio of the template molecule to functional monomer was 1:10, the optimal number of electropolymerization cycles was 25 cycles, and the optimal electropolymerization speed was 100 mV/s, the optimal elution time was 12 min, the optimum adsorption time was 8 min, and the optimum pH of the adsorption solution was 7. Under the optimal experimental conditions, the peak current of the molecularly imprinted sensor had a good linear relationship with the concentration of quercetinol, the detection limi was relatively low, with the recovery rate for the spiked sample in the range of 97.44%~106.19%. The method has good selectivity, reproducibility and stability, which expands the research of electrochemical sensors in the fields of food and medicine.