College of Food Science and Engineering, Zhejiang University of Technology, Huzhou 313299, China.
College of Computer Science and Engineering, Zhejiang University of Technology, Hangzhou 310027, China.
Biosensors (Basel). 2023 Feb 28;13(3):330. doi: 10.3390/bios13030330.
The quinolone antibiotics represented by enrofloxacin (ENRO) are harmful to the ecological environment and human health due to illegal excessive use, resulting in increasing food residues and ENRO levels in the environment. To this end, we developed a MIPs-SERS method using surface-enhanced Raman spectroscopy (SERS) and molecularly imprinted polymers (MIPs) to detect ENRO in food matrices. Firstly, a layer of silver nanoparticles (Ag NPs) with the best SERS effect was synthesized on the surface of copper rods as the enhancing material by in situ reductions, and then MIPs targeting ENRO were prepared by the native polymerization reaction, and the MIPs containing template molecules wrapped on the surface of silver nanoparticle films (Ag NPs-MIPs) were obtained. Our results showed that the Ag NPs-MIPs could specifically identify ENRO from the complex environment. The minimum detection limit for ENRO was 0.25 ng/mL, and the characteristic peak intensity of ENRO was linearly correlated to the concentration with a linear range of 0.001~0.1 μg/mL. The experimental results showed that in comparison to other detection methods, the rapid detection of ENRO in food matrices using Ag NPs-MIPs as the substrate is reliable and offers a cost-effective, time-saving, highly selective, and sensitive method for detecting ENRO residues in real food samples.
以恩诺沙星(ENRO)为代表的喹诺酮类抗生素由于非法过量使用,对生态环境和人体健康造成危害,导致环境中食物残留和 ENRO 水平不断增加。为此,我们开发了一种基于表面增强拉曼光谱(SERS)和分子印迹聚合物(MIPs)的 MIPs-SERS 方法,用于检测食品基质中的 ENRO。首先,通过原位还原在铜棒表面合成具有最佳 SERS 效应的银纳米粒子(Ag NPs)作为增强材料,然后通过原生聚合反应制备针对 ENRO 的 MIPs,并获得包裹在银纳米粒子薄膜表面的含有模板分子的 MIPs(Ag NPs-MIPs)。我们的结果表明,Ag NPs-MIPs 可以从复杂环境中特异性识别 ENRO。ENRO 的最低检测限为 0.25ng/mL,ENRO 的特征峰强度与浓度呈线性相关,线性范围为 0.001~0.1μg/mL。实验结果表明,与其他检测方法相比,以 Ag NPs-MIPs 为基底快速检测食品基质中的 ENRO 是可靠的,为检测实际食品样品中的 ENRO 残留提供了一种经济、省时、高选择性和高灵敏度的方法。