College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2699, Changchun 130012, China.
College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2699, Changchun 130012, China.
Food Chem. 2025 Jan 15;463(Pt 2):141207. doi: 10.1016/j.foodchem.2024.141207. Epub 2024 Sep 10.
A facile and efficient detection method is required to address the potential health risks of ketoprofen (KP) in animal-derived foods. Herein, we integrated molecularly imprinted polymers (MIPs) with Cu-doped FeO nanozymes (FeO-Cu) to develop a selective colorimetric sensor for KP detection. Chitosan and glutaraldehyde were used as functional monomers and cross-linkers to fabricate proposed the MIPs@FeO-Cu. On KP addition, it was specifically captured by the imprinted cavities, thereby blocking the channels between chromogenic substrates and FeO-Cu. Based on this rationale, a selective colorimetric sensor utilizing MIPs@FeO-Cu was established, exhibiting a linear range of 0.25-100 μM and a detection limit of 0.073 μM. The developed method was validated through its application in milk samples, yielding satisfactory recoveries with low relative standard deviations. This efficient and selective colorimetric sensor holds immense significance for KP detection in complex samples.
需要一种简单高效的检测方法来解决动物源性食品中酮洛芬 (KP) 的潜在健康风险。在此，我们将分子印迹聚合物 (MIP) 与掺铜的 FeO 纳米酶 (FeO-Cu) 结合，开发了一种用于 KP 检测的选择性比色传感器。壳聚糖和戊二醛被用作功能单体和交联剂来制备所提出的 MIPs@FeO-Cu。加入 KP 后，它会被印迹腔特异性捕获，从而阻断显色底物和 FeO-Cu 之间的通道。基于这一原理，建立了一种利用 MIPs@FeO-Cu 的选择性比色传感器，其线性范围为 0.25-100 μM，检测限为 0.073 μM。该方法通过在牛奶样品中的应用得到了验证，具有令人满意的回收率和低相对标准偏差。这种高效选择性的比色传感器对于复杂样品中 KP 的检测具有重要意义。
