School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, PR China; School of Pharmacy, Jining Medical College, Rizhao, Shandong Province, PR China.
School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, Liaoning Province, PR China.
Talanta. 2018 Apr 1;180:358-367. doi: 10.1016/j.talanta.2017.12.071. Epub 2017 Dec 22.
In this work, computational and experimental methods were used to study the adsorption of estrogens and glucocorticoids on metal-organic frameworks (MOFs). Computer-aided molecular simulation was applied to predict the adsorption of eight analytes on four MOFs (MIL-101(Cr), MIL-100(Fe), MIL-53(Al), and UiO-66(Zr)) by examining molecular interactions and calculating free binding energies. Subsequently, the four water-stable MOFs were synthesized and evaluated as adsorbents for the target hormones in aqueous solution. As the MOF exhibiting the highest adsorption capacity in both computations and experiments, MIL-53(Al) was chosen as a sorbent to develop a dispersive micro-solid-phase extraction procedure coupled to ultra-performance liquid chromatography tandem mass spectrometry for simultaneous determination of the target analytes in water and human urine samples. Experimental parameters affecting the extraction recoveries, including pH, ionic strength, MIL-53(Al) amount, extraction time, desorption time, and desorption solvent, were optimized. The optimized method provided a linear range of 0.005025-368.6μg/L with good correlation coefficients (0.9982 ≤ r ≤ 0.9992), and limits of detection (S/N = 3) and quantification (S/N = 10) of 0.0015-1.0μg/L and 0.005-1.8μg/L, respectively. The analyte recoveries were in the range of 80.6-98.4% in water samples and 88.4-93.2% in urine samples. Furthermore, MIL-53(Al) showed good stability over 10 extraction cycles (RSD < 10.0%). Good agreement between experimental measurements and computational results showed the potential of this approach for elucidating adsorption mechanisms and predicating extraction efficiencies for MOFs and targets, providing new directions for the development and utilization of MOFs.
在这项工作中,我们使用计算和实验方法研究了雌激素和糖皮质激素在金属有机骨架(MOFs)上的吸附。通过考察分子相互作用和计算自由结合能,我们应用计算机辅助分子模拟预测了八种分析物在四种 MOFs(MIL-101(Cr)、MIL-100(Fe)、MIL-53(Al)和 UiO-66(Zr))上的吸附。随后,我们合成了四种水稳定的 MOFs,并将其作为目标激素在水溶液中的吸附剂进行了评估。由于 MIL-53(Al)在计算和实验中均表现出最高的吸附容量,因此我们选择它作为吸附剂,开发了一种分散型微固相萃取程序,与超高效液相色谱串联质谱法相结合,用于同时测定水中和人尿样中的目标分析物。优化了影响萃取回收率的实验参数,包括 pH 值、离子强度、MIL-53(Al)用量、萃取时间、解吸时间和解吸溶剂。优化后的方法提供了 0.005025-368.6μg/L 的线性范围,具有良好的相关系数(0.9982 ≤ r ≤ 0.9992),检出限(S/N = 3)和定量限(S/N = 10)分别为 0.0015-1.0μg/L 和 0.005-1.8μg/L。在水样中的分析物回收率在 80.6%-98.4%之间,在尿样中的回收率在 88.4%-93.2%之间。此外,MIL-53(Al)在 10 个萃取循环中表现出良好的稳定性(RSD < 10.0%)。实验测量与计算结果之间的良好一致性表明,该方法有望阐明 MOFs 和目标物的吸附机制和预测萃取效率,为 MOFs 的开发和利用提供了新的方向。