Department of Biomedical Engineering, Department of Convergence System Engineering, Chungnam National University, Daejeon, 34134, Republic of Korea.
Department of Biomedical Engineering, Department of Convergence System Engineering, Chungnam National University, Daejeon, 34134, Republic of Korea; Department of Technology Education, Chungnam National University, Daejeon, 34134, Republic of Korea.
Anal Chim Acta. 2023 Feb 22;1243:340841. doi: 10.1016/j.aca.2023.340841. Epub 2023 Jan 13.
Chloramphenicol (CAP) is a harmful antibiotic that inevitably enters our food chain through natural or manmade means. Its ineradicable residue pollutes soils and water, accumulates in plants and animal products, and eventually affects human health. An ultrasensitive method for detecting and monitoring CAP is therefore urgently required. Herein, we report an ultrafast extraction and amperometry detection method based on a graphite-sulfate-modified electrode for detecting CAP in soil, water, and food samples. The graphite sulfate is prepared by the oxidation method and its structural properties are comprehensively investigated. The developed sensor electrode showed a wider linear range of 0.3-32.0 μg kg and an ultralow detection limit of 0.1 μg kg, both of which meet the European Commission Reg 1871/2019 reference points for action. The method works well with both meat and plant samples, achieving CAP recoveries ranging from 90.8 to 99.1% even at low concentrations. Moreover, the sensor electrode shows more than 95% selectivity toward CAP detection in the soil, water, and food matrices. The developed method exhibits good repeatability and reproducibility in the analysis of real samples.
氯霉素（CAP）是一种有害的抗生素，它不可避免地通过自然或人为的方式进入我们的食物链。其不可消除的残留物污染土壤和水，在植物和动物产品中积累，最终影响人类健康。因此，迫切需要一种超灵敏的方法来检测和监测 CAP。在此，我们报告了一种基于硫酸石墨修饰电极的超快提取和电流检测方法，用于检测土壤、水和食品样品中的 CAP。硫酸石墨通过氧化法制备，并对其结构性能进行了全面研究。所开发的传感器电极具有更宽的线性范围（0.3-32.0μgkg）和超低的检测限（0.1μgkg），均符合欧盟委员会第 1871/2019 号法规的行动参考点。该方法适用于肉类和植物样品，即使在低浓度下，也能实现 CAP 的回收率在 90.8%至 99.1%之间。此外，该传感器电极对土壤、水和食品基质中 CAP 的检测具有超过 95%的选择性。该方法在实际样品分析中表现出良好的重复性和重现性。
