Food, Nutrition and Health Program, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, V6T 1Z4, Canada.
Food, Nutrition and Health Program, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, V6T 1Z4, Canada.
Anal Chim Acta. 2019 Jan 10;1046:163-169. doi: 10.1016/j.aca.2018.09.041. Epub 2018 Sep 22.
This work demonstrates a sensitive and rapid method for the detection of antibiotic residues in food samples by employing the filtration behaviour of paper combined with aggregation and precipitation of chemical reagents. Using this concept, we successfully determined the presence of oxytetracycline and norfloxacin residues in pork using metal complexation on microfluidic paper-based analytical devices (μPADs). The base substrate (top layer of the device) was fabricated by printing letter channels of the words "oxytetracycline" and "norfloxacin" before functionalization with copper (II) sulfate pentahydrate in 0.5 M sodium hydroxide and iron (III) nitrate nanohydrate in 5 mM ammonia solution for the detection of oxytetracycline and norfloxacin separately. A transition metal hydroxide formed upon reaction that created solid precipitates on paper and allowed antibiotic residues to bind to the metal ions via coordination chemistry. The metal ion-antibiotic complex could form on the filter paper and generated a visible color change with the detection limit of 1 ppm for both oxytetracycline and norfloxacin in pork. This procedure of filtration and concentration in combination with a simple text-reporting approach allows the end users to achieve a low limit of detection as well as easy result interpretation in food safety monitoring.
这项工作展示了一种灵敏快速的方法,用于通过利用纸张的过滤行为结合化学试剂的聚集和沉淀来检测食品样品中的抗生素残留。使用这个概念,我们成功地在微流控纸基分析器件(μPADs)上通过金属络合检测到猪肉中存在土霉素和诺氟沙星残留。基底衬底(器件的顶层)通过在 0.5 M 氢氧化钠中用五水硫酸铜和在 5 mM 氨水中用纳米硝酸铁功能化之前打印“土霉素”和“诺氟沙星”字样的字母通道来制造,用于分别检测土霉素和诺氟沙星。反应形成过渡金属氢氧化物,在纸上形成固体沉淀物,使抗生素残留通过配位化学与金属离子结合。金属离子-抗生素复合物可以在滤纸上形成,并产生可见的颜色变化,猪肉中土霉素和诺氟沙星的检测限均为 1 ppm。这种过滤和浓缩的程序结合简单的文本报告方法,使最终用户能够实现低检测限以及食品安全监测中易于解释的结果。