Abstract：
Detection of florfenicol (FF) residues in animal-derived foods, as one of the most widely used antibiotics, is critically important to food safety. The fluorescent molecularly imprinted polymer (MIP) was synthesized by surface-initiated atom transfer radical polymerization technique with poly(glycidyl methacrylate-co-ethylene glycol dimethacrylate) microspheres, 4-vinylpyridine, ethylene glycol dimethacrylate, and FF as the matrix, functional monomer, crosslinker, and template molecule, respectively. Meanwhile, N-S co-doped carbon dot (CD) was synthesized with triammonium citrate and thiourea as precursors under microwave irradiation at 400 W for 2.5 min and then integrated into FF-MIP to obtain CD@FF-MIP. For comparison, non-imprinted polymer (NIP) without FF was also prepared. The adsorption capacity of CD@FF-MIP to FF reached 53.1 mg g-1, which was higher than that of FF-MIP (34.7 mg g-1), whereas the adsorption capacity of NIP was only 17.3 mg g-1. The adsorption equilibrium of three materials was reached within 50 min. Particularly, CD@FF-MIP exhibited an excellent fluorescence quenching response to FF in the concentration range of 3-50 µmol L-1. As a result, CD@FF-MIP was successfully utilized to extract FF in milk samples, which were analyzed by high-performance liquid chromatography. The standard recoveries were 95.8%-98.2%, and the relative standard deviation was 1.6%-4.2%. The method showed the advantages of simple operation, high sensitivity, excellent selectivity, and low cost, and also demonstrated a great application prospect in food detection.
摘要：
动物源性食品中氟苯尼考（FF）残留的检测，作为最广泛使用的抗生素之一，对食品安全至关重要。采用表面引发原子转移自由基聚合技术,利用聚(甲基丙烯酸缩水甘油酯-共乙二醇二甲基丙烯酸酯)微球合成了荧光分子印迹聚合物(MIP),4-乙烯基吡啶,乙二醇二甲基丙烯酸酯，和FF作为矩阵，功能单体,交联剂,和模板分子，分别。同时,以柠檬酸三铵和硫脲为前体，在400W微波辐射下合成了N-S共掺杂碳点（CD），然后将其集成到FF-MIP中，得到CD@FF-MIP。为了比较，还制备了不含FF的非印迹聚合物(NIP)。CD@FF-MIP对FF的吸附容量达到53.1mgg-1,高于FF-MIP的吸附容量(34.7mgg-1),而NIP的吸附容量仅为17.3mgg-1。三种材料在50min内达到吸附平衡。特别是,CD@FF-MIP在3-50µmolL-1的浓度范围内对FF表现出优异的荧光猝灭响应。因此,CD@FF-MIP被成功地用于提取牛奶样品中的FF，用高效液相色谱法分析。标准回收率为95.8%-98.2%,相对标准偏差为1.6%～4.2%。该方法操作简单,高灵敏度,优异的选择性，成本低,在食品检测中也展示了巨大的应用前景。
