College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, PR China; Key Laboratory for Rural Ecosystem Health in the Dongting Lake Area of Hunan Province, Changsha 410128, PR China; Yuelushan Laboratory, Hongqi Road, Changsha, Hunan, 410128, China.
College of Environment and Ecology, Hunan Agricultural University, Changsha, 410128, PR China; Key Laboratory for Rural Ecosystem Health in the Dongting Lake Area of Hunan Province, Changsha 410128, PR China; Yuelushan Laboratory, Hongqi Road, Changsha, Hunan, 410128, China.
Food Chem. 2024 Dec 1;460(Pt 2):140688. doi: 10.1016/j.foodchem.2024.140688. Epub 2024 Jul 27.
As the contamination and enrichment in food chain of levofloxacin (LV) antibiotics have caused a significant threat to life safety, the instant detection of LV has become an urgent need. Here, a PDI-functionalized imine-based covalent organic framework (PDI-COF300) was prepared by the electrostatic self-assembly method as fluorescent probe for smartphone visual detection of LV, which exhibited excellent fluorescence quantum yield (82.68%), greater stability, high sensitivity with detection limit of 0.303 μM. Based on the results of molecular docking and Stern-Volmer equation, the LV detection by PDI-COF300 was mainly a static quenching process through π-π stacked hydrophobic interactions and fluorescence resonance energy transfer. Besides, PDI-COF300 was applied to LV detection in environmental medium and milk samples with recoveries from 85.56% to 108.34% and relative standard deviations <2.70%. This work also provided a new general strategy for using PDI-COF in smartphone devices and fluorescent papers for LV fluorescence detection and microanalysis.
由于左氧氟沙星 (LV) 抗生素在食物链中的污染和富集对生命安全造成了重大威胁,因此对 LV 的即时检测已成为当务之急。在这里,通过静电自组装方法制备了一种 PD I 功能化的亚胺基共价有机框架 (PD I-COF300),用作智能手机视觉检测 LV 的荧光探针,其荧光量子产率 (82.68%) 高、稳定性好、检测限低至 0.303 μM。基于分子对接和 Stern-Volmer 方程的结果,PD I-COF300 通过 π-π 堆积的疏水相互作用和荧光共振能量转移对 LV 的检测主要是静态猝灭过程。此外,PD I-COF300 还用于环境介质和牛奶样品中的 LV 检测,回收率在 85.56%至 108.34%之间,相对标准偏差 <2.70%。这项工作还为使用 PD I-COF 在智能手机设备和荧光纸上进行 LV 荧光检测和微观分析提供了一种新的通用策略。