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

Xiaoxiao Wang; Yanqiang Zhou; Yuling Niu; Shanwen Zhao; Bolin Gong

doi:10.1155/2019/5970754

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

Int J Anal Chem. 2019 Apr 1:2019:5970754. doi: 10.1155/2019/5970754. eCollection 2019.

Authors

Xiaoxiao Wang¹, Yanqiang Zhou¹, Yuling Niu², Shanwen Zhao¹, Bolin Gong¹

Affiliations

¹ College of Chemistry and Chemical Engineering, North Minzu University, Yinchuan 750021, China.
² Ningxia Entry-Exit Inspection and Quarantine Bureau Comprehensive Technology Center, Yinchuan, Ningxia, China.

Abstract

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.