College of Plant Protection, Gansu Agricultural University/Biocontrol Engineering Laboratory of Crop Diseases and Pests of Gansu Province, Lanzhou 730070, China.
Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China.
Molecules. 2020 Dec 8;25(24):5788. doi: 10.3390/molecules25245788.
To establish an online analytical method towards estrogenic pollutants, a covalent organic porous polymer (COP) was in-situ synthesized on the surface of basalt fibers (BFs) for in-tube solid-phase microextraction (IT-SPME). The extraction tube, obtained via placing the modified BFs into a polyetheretherketone tube, was combined with high-performance liquid chromatography (HPLC) to achieve online IT-SPME-HPLC analysis. The important parameters, including sampling volume, sampling rate, organic solvent content and desorption time, were carefully investigated. Under the optimized conditions, the online analytical method was established for five estrogenic targets, with low limits of detection (0.001-0.005 μg/L), high enrichment factors (1800-2493), wide linear ranges (0.003-20, 0.015-20 μg/L) and satisfactory repeatability. It was successfully applied to detect five estrogens in a wastewater sample and a water sample in a polycarbonate cup. The BFs functionalized with COPs displayed excellent extraction effect for estrogenic pollutants, furthermore it has great potential in sample preparation or other fields.
为建立针对雌激素污染物的在线分析方法，将共价有机多孔聚合物（COPs）原位合成在玄武岩纤维（BFs）表面，用于管内固相微萃取（IT-SPME）。通过将改性 BFs 放入聚醚醚酮管中获得萃取管，将其与高效液相色谱（HPLC）结合，实现在线 IT-SPME-HPLC 分析。仔细研究了包括采样体积、采样速率、有机溶剂含量和洗脱时间在内的重要参数。在优化条件下，建立了五种雌激素目标物的在线分析方法，检测限低（0.001-0.005μg/L），富集因子高（1800-2493），线性范围宽（0.003-20、0.015-20μg/L），重复性好。该方法成功应用于检测废水中的五种雌激素和聚碳酸酯杯中水样中的雌激素。COPs 功能化的 BFs 对雌激素污染物表现出优异的萃取效果，因此在样品制备或其他领域具有很大的应用潜力。
