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Preparation of Monodisperse Enrofloxacin Molecularly Imprinted Polymer Microspheres and Their Recognition Characteristics

机译:恩诺沙星分子印迹聚合物微球的制备及其识别特性

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摘要

This study presents a new strategy for the detection of enrofloxacin (ENR) in food samples by the use of monodisperse ENR molecularly imprinted polymers (MIPs). Using enrofloxacin as template molecule, methacrylic acid as functional monomer, and ethylene diglycidyl ether as cross-linker, surface molecularly imprinted polymers (MIPs) were prepared on the surface of polymeric glycidyl methacrylate-ethylene glycol dimethacrylate (PGMA-EDMA) microspheres. The surface morphology and imprinting behavior of PGMA-EDMA@MIPs were investigated and optimized. Synthesized PGMA-EDMA@MIPs showed good physical and chemical stability and specific recognition toward fluoroquinolones. The introduction of PGMA-EDMA microspheres greatly increased the adsorption area of PGMA-EDMA@MIPs and increased the adsorption capacity of target molecules. The core shell structure increased the adsorption rate, and adsorption equilibrium was achieved within 6 min, much higher than that of MIPs synthesized by traditional methods. Enrofloxacin in milk samples was detected by molecular imprinting solid phase extraction (MISPE) combined with high performance liquid chromatography (HPLC). Implementing this method resulted in a recovery rate of 94.6~109.6% with a relative standard deviation (RSD) of less than 3.2%. The limit of detection (LOD) of this method was identified as three times the signal-to-noise ratio (10 μg/L). In summary, this work proposed a sensitive, rapid, and convenient method for the determination of trace ENR in food samples.
机译:这项研究提出了一种通过使用单分散ENR分子印迹聚合物(MIP)检测食品样品中恩诺沙星(ENR)的新策略。以恩诺沙星为模板分子,以甲基丙烯酸为功能单体,以乙二缩水甘油醚为交联剂,在甲基丙烯酸缩水甘油酯-乙二醇二甲基丙烯酸酯(PGMA-EDMA)微球表面制备了表面分子印迹聚合物(MIP)。研究并优化了PGMA-EDMA @ MIPs的表面形态和压印行为。合成的PGMA-EDMA @ MIPs表现出良好的物理和化学稳定性,对氟喹诺酮类化合物具有特异性识别。 PGMA-EDMA微球的引入大大增加了PGMA-EDMA @ MIPs的吸附面积,并增加了目标分子的吸附能力。核壳结构提高了吸附速率,并在6分钟内达到了吸附平衡,远高于传统方法合成的MIP。通过分子印迹固相萃取(MISPE)与高效液相色谱(HPLC)结合检测牛奶样品中的恩诺沙星。实施该方法可以使回收率达到94.6〜109.6%,相对标准偏差(RSD)小于3.2%。该方法的检出限(LOD)被确定为信噪比(10μg/ L)的三倍。总而言之,这项工作提出了一种灵敏,快速,方便的方法来测定食品样品中的痕量ENR。

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