It plays an important role to effective detection of amphenicols antibiotic residues in food and an important issue considering of possible impact on human health. In this work, the molecularly imprinted membranes (MIMs) were proposed to simultaneously recognize and detect thiamphenicol (TAP), florfenicol (FF) and chloramphenicol (CAP) in pork and milk samples. The synergistic effect of graphene oxide (GO), double functional monomer (methacrylate and acrylamide) and "click chemistry" strategy prompted the membranes to possess good surface hydrophilicity (48.6°), excellent selectivity and capacity to exclude macromolecules. The theoretical models of selectivity mechanism showed the selective recognition depended mainly on the hydrogen bond interaction and van der Waals interaction between the analytes and monomers. The limit of detection for 3 analytes were 0.04-0.28 µg kg-1, and showed a good correlation (r > 0.9949). Finally, this study established an effective MIMs-UHPLC-MS/MS method with great potential for the monitor of antibiotics residue in complicated matrices.
Keywords: Chloramphenicol; Florfenicol; GO-loading; Hydrophilic molecularly imprinted membranes; Selective recognition; Thiamphenicol.
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