Zhang Zhipeng, Liu Ying, Huang Pengcheng, Wu Fang-Ying, Ma Lihua
College of Chemistry, Nanchang University, Nanchang, 330031, China.
College of Chemistry, Nanchang University, Nanchang, 330031, China; Jiangxi Province Key Laboratory of Modern Analytical Science, Nanchang University, Nanchang, 330031, China.
Talanta. 2021 Sep 1;232:122411. doi: 10.1016/j.talanta.2021.122411. Epub 2021 Apr 21.
Molecular imprinting technology was used to coat polydopamine (PDA) onto MIL-53(Fe) surface by simple self-polymerization. The MIL-53(Fe)@MIP composite with enhanced peroxidase-like activity and specific target recognition function was synthesized and selected to construct a fluorescence sensor to detect metronidazole (MNZ). Since the substrate terephthalic acid was incorporated in the framework of MIL-53(Fe)@MIP, no additional luminescent substrate was required. This avoided the interference of the substrate on the enzymatic detection system and improved the accuracy of the assay. The characteristics of MIL-53(Fe)@MIP composite were investigated and confirmed by systematic analyses. The experimental results proved that the sensor provided satisfactory performances for quantitative determination of MNZ in wide linear range from 1 to 200 μM with low limit of detection as 53.4 nM. Potential interfering substances such as common cations and anions, amino acids, other antibiotics, sugars, and food additive were studied to show negligible effect on the assay, allowing the practical application to different fields including milk and human serum by the standard addition method. The recoveries were obtained between 93.2 and 102%, and the RSD was less than 3%.
采用分子印迹技术通过简单的自聚合反应将聚多巴胺(PDA)包覆在MIL-53(Fe)表面。合成了具有增强的类过氧化物酶活性和特异性目标识别功能的MIL-53(Fe)@MIP复合材料,并选择其构建用于检测甲硝唑(MNZ)的荧光传感器。由于对苯二甲酸底物已掺入MIL-53(Fe)@MIP的骨架中,因此无需额外的发光底物。这避免了底物对酶检测系统的干扰,提高了检测的准确性。通过系统分析对MIL-53(Fe)@MIP复合材料的特性进行了研究和确认。实验结果证明,该传感器在1至200μM的宽线性范围内对MNZ进行定量测定具有令人满意的性能,检测限低至53.4 nM。研究了常见阳离子和阴离子、氨基酸、其他抗生素、糖类和食品添加剂等潜在干扰物质,结果表明它们对测定的影响可忽略不计,通过标准加入法可将其实际应用于包括牛奶和人血清在内的不同领域。回收率在93.2%至102%之间,相对标准偏差小于3%。