The Key Lab of Health Chemistry & Molecular Diagnosis of Suzhou, College of Chemistry, Chemical Engineering & Materials Science, Soochow University, Suzhou, 215123, People's Republic of China.
Analysis and Testing Center, Soochow University, Suzhou, 215123, People's Republic of China.
Mikrochim Acta. 2024 Mar 4;191(4):175. doi: 10.1007/s00604-024-06242-2.
Nanoenzymes have been widely used to construct biosensors because of their cost-effectiveness, high stability, and easy modification. At the same time, the discovery of deep eutectic solvents (DES) was a great breakthrough in green chemistry, and their combination with different materials can improve the sensing performance of biosensors. In this work, we report an immunosensor using CuCoO nanoenzyme combined with flow injection chemiluminescence immunoassay for the automated detection of zearalenone (ZEN). The immunosensor exhibited excellent sensing performance. Under the optimal conditions, the detection range of ZEN was 0.0001-100 ng mL, and the limit of detection (LOD) was 0.076 pg mL (S/N = 3). In addition, the immunosensor showed excellent stability with a relative standard deviation (RSD) of 2.65% for 15 repetitive injections. The method has been successfully applied to the analysis of real samples with satisfactory recovery results, and can hence provide a reference for the detection of small molecules in food and feed.
纳米酶由于其成本效益高、稳定性高和易于修饰而被广泛用于构建生物传感器。同时,深共晶溶剂 (DES) 的发现是绿色化学的重大突破,它们与不同材料的结合可以提高生物传感器的传感性能。在这项工作中,我们报告了一种使用 CuCoO 纳米酶结合流动注射化学发光免疫分析的免疫传感器,用于自动检测玉米赤霉烯酮 (ZEN)。该免疫传感器表现出优异的传感性能。在最佳条件下,ZEN 的检测范围为 0.0001-100ng/mL,检测限 (LOD) 为 0.076pg/mL(S/N=3)。此外,该免疫传感器具有出色的稳定性,15 次重复注射的相对标准偏差 (RSD) 为 2.65%。该方法已成功应用于实际样品的分析,具有令人满意的回收率结果,可为食品和饲料中小分子的检测提供参考。