Pefloxacin Mesilate

Developing a selective colorimetric assay for fluoroquinolones (FQs) that show visible color response is highly desired, which is challenging because FQs show extremely similarity in structure and inherently absorb light in the UV color range. In this work, a selective colorimetric assay for pefloxacin (PEF) was fabricated through integrating two rection systems: the inhibition effects of PEF on the AChE-like activities of Al³⁺ decorated MOF-808 (MOF-808-Al) and the thiol-response oxidase-mimicking reaction of MnO₂ nanosheets. The MnO₂ nanosheets, due to their oxidase-mimicking properties, can oxidize the colorless 3, 3', 5, 5'-tetramethylbenzidine (TMB) into its blue-colored oxidized form, TMB⁺. Assisted by the synergistic action of metal-OH and Lewis acid sites, MOF-808-Al exhibits AChE-like activities. These activities catalyze the decomposition of acetylthiocholine into thiocholine. Thiocholine has a stronger reactivity compared to TMB; it can reduce the MnO₂ nanosheets, which in turn prevents the color response. In addition, PEF inhibits the AChE-like activities of MOF-808-Al by blocking its active sites. The quantitative detection of PEF is accomplished by recording the blue color response of the system, both in buffer solutions and in commercial meat samples. This assay demonstrates excellent tolerance and selectivity against various interfering substances, antibiotics, and pesticides.

In this study, an innovative magnetic solid-phase extraction adsorbent based on metal-organic framework UiO-66-NH₂ functionalized polydopamine-modified magnetic multi-walled carbon nanotubes (Fe₃O₄@MWCNTs@PDA@UiO-66-NH₂) was developed for the selective extraction of trace amounts of quinolones (QNs) from milk and honey. Under optimal conditions, when coupled with ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS), the developed approach demonstrated excellent linearity in the concentration range of 0.1-100 μg kg^-1 (R² ≥ 0.9916). The recoveries for sixteen QNs ranged from 72.4% to 108.9%, with relative standard deviations less than 9.40%. The limits of detection were 0.012-0.450 μg kg^-1 for milk and 0.023-0.690 μg kg^-1 for honey. Finally, the method was successfully applied to the quantification of QNs in milk and honey samples.