Mohammad Mehri Sina, Farajzadeh Mir Ali, Afshar Mogaddam Mohammad Reza
Department of Analytical Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran.
Engineering Faculty, Near East University, 99138 Nicosia, North Cyprus, Mersin 10, Turkey.
Anal Methods. 2025 Jul 24;17(29):6098-6106. doi: 10.1039/d5ay00741k.
For the first time, an analytical strategy was developed that prioritizes the removal of matrix interferences rather than directly preconcentrating analytes, enabling accurate extraction and quantification of antidepressants from complex real samples. A core-shell magnetic metal-organic framework (Cu-BTC@FeO) was employed to effectively adsorb and eliminate matrix components, thereby cleaning up the sample matrix and facilitating analyte extraction. The integration of dispersive micro solid-phase extraction for matrix removal with vortex-assisted liquid-liquid microextraction and gas chromatography-flame ionization detection (GC-FID) resulted in excellent analytical performance. The method achieved low limits of detection (0.80-1.05 μg L) and limits of quantification (2.70-3.51 μg L), high enrichment factors (300-355), acceptable extraction recoveries (60-71%), and wide linear ranges (3.5-10 000 μg L). Additionally, the reusability of the adsorbent enhanced the method's environmental sustainability and cost-effectiveness. By prioritizing matrix cleanup as a crucial initial step, this innovative approach offers a robust and practical solution for the trace analysis of antidepressants in highly contaminated environments.
首次开发了一种分析策略,该策略优先去除基质干扰而非直接预富集分析物,从而能够从复杂的实际样品中准确提取和定量抗抑郁药。采用核壳磁性金属有机框架(Cu-BTC@FeO)有效吸附和去除基质成分,从而净化样品基质并促进分析物提取。将用于去除基质的分散微固相萃取与涡旋辅助液液微萃取和气相色谱-火焰离子化检测(GC-FID)相结合,获得了出色的分析性能。该方法实现了低检测限(0.80 - 1.05 μg/L)和定量限(2.70 - 3.51 μg/L)、高富集因子(300 - 355)、可接受的萃取回收率(60 - 71%)以及宽线性范围(3.5 - 10000 μg/L)。此外,吸附剂的可重复使用性提高了该方法的环境可持续性和成本效益。通过将基质净化作为关键的第一步,这种创新方法为在高度污染环境中对抗抑郁药进行痕量分析提供了一种强大而实用的解决方案。