Selective sample pretreatment by molecularly imprinted polymer monolith for the analysis of fluoroquinolones from milk samples.
Selective sample pretreatment by molecularly imprinted polymer monolith for the analysis of fluoroquinolones from milk samples.
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DOI：
10.1016/j.chroma.2010.02.011
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发表时间：
2010-04
期刊：
影响因子：
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通讯作者：
M. Zheng;R. Gong;Xing Zhao;Yuqi Feng
中科院分区：
文献类型：
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作者：
M. Zheng;R. Gong;Xing Zhao;Yuqi Feng
在含水体系中合成了与水相容的头孢菌素分子印迹整体柱，并将其用于氟喹诺酮类药物的选择性萃取。以甲基丙烯酸为功能单体，二甲基丙烯酸二乙二醇酯为交联剂，甲醇-水（10：3，v/v）为致孔溶剂，合成了MIP整体柱。评价了该分子印迹聚合物对环丙沙星、二氟沙星、达氟沙星、恩诺沙星和氟甲喹、恶喹酸的选择性识别能力。衍生化整体柱显示出高选择性，并能够区分氟喹诺酮类和喹诺酮类。建立了一种基于MIP整体柱的聚合物整体柱微萃取（PMME）-高效液相色谱荧光检测法测定牛奶中4种氟喹诺酮类化合物的方法。由于MIP整体柱的网络骨架中的独特多孔结构和流通通道，磷酸盐缓冲液稀释的牛奶样品直接供应到PMME;允许非特异性结合的蛋白质和其他生物基质被洗出，并且选择性地富集FQs。方法的检出限为0.4-1.6ng/mL，回收率为92.4-98.2%，相对标准偏差小于5.9%。
Water-compatible pefloxacin-imprinted monoliths synthesized in a water-containing system were used for the selective extraction of fluoroquinolones (FQs). The MIP monolith was synthesized by using methacrylic acid as the functional monomer, di(ethylene glycol) dimethacrylate as a cross-linker and methanol–water (10:3, v/v) as the porogenic solvent. The ability of the derivated MIP for selective recognition of FQs (ciprofloxacin, difloxacin, danofloxacin and enrofloxacin) and quinolones (flumequine, and oxolinic acid) was evaluated. The derivated monolith showed high selectivity and was able to distinguish between FQs and quinolones. A simple rapid and sensitive method using polymer monolith microextraction (PMME) based on the MIP monolith combined with HPLC with fluorescence detection was developed for the determination of four FQs from milk samples. Owing to the unique porous structure and flow-through channels in the network skeleton of the MIP monolith, phosphate buffer diluted milk samples were directly supplied to PMME; allowing non-specific bound proteins and other biological matrix to be washed out, and FQs to be selectively enriched. The limit of detection of the method was 0.4–1.6ng/mL and recovery was 92.4–98.2% with relative standard deviations less than 5.9%.