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

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 mol...

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Detalles Bibliográficos
Autores principales: Wang, Xiaoxiao, Zhou, Yanqiang, Niu, Yuling, Zhao, Shanwen, Gong, Bolin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6463572/
https://www.ncbi.nlm.nih.gov/pubmed/31057621
http://dx.doi.org/10.1155/2019/5970754
Descripción
Sumario: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 (P(GMA-EDMA)) microspheres. The surface morphology and imprinting behavior of P(GMA-EDMA)@MIPs were investigated and optimized. Synthesized P(GMA-EDMA)@MIPs showed good physical and chemical stability and specific recognition toward fluoroquinolones. The introduction of P(GMA-EDMA) microspheres greatly increased the adsorption area of P(GMA-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.