Hubei Collaborative Innovation Center for Advanced Organic Chemical Materials, Ministry of Education Key Laboratory for the Synthesis and Application of Organic Functional Molecules&College of Chemistry and Chemical Engineering, Hubei University, Wuhan, 430062, People's Republic of China.
Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment, Wuhan, 430062, People's Republic of China.
Mikrochim Acta. 2020 Jan 2;187(1):78. doi: 10.1007/s00604-019-3997-1.
A polyaniline composite doped with etched multi-walled carbon nanotubes and UiO-66-NH was prepared by electropolymerization. It was used as a sorbent to extract the polycyclic aromatic hydrocarbons (PAHs) phenanthrene, fluoranthene and pyrene. Its surface morphology, crystal structure and capability of adsorbing PAHs were characterized by scanning electron microscopy, X-ray photoelectron spectrometry, Fourier transform infrared spectrometry and zeta potentiometry. The π stacking and anion-π interactions are shown to play dominant roles in the sorption mechanism. Coupled with high performance liquid chromatography, the composite-modified fiber was applied to detect PAHs in lake water samples by direct immersion extraction. The method excels by (a) wide linear range (0.05-20 ng mL), (b) low limits of detection (10 pg mL), (c) satisfactory recovery from spiked samples (84.7-113.8%), and (d) good reproducibility (relative standard deviations of <6.5%). The method is superior in terms of costs and reproducibility compared to some pretreatment methods with mass spectrometric detection. Graphical abstractSchematic representation for interaction between PANI-etched MWCNT/UiO-66-NH and polycyclic aromatic hydrocarbons (phenanthrene, fluoranthene, pyrene).
通过电聚合制备了一种掺杂刻蚀多壁碳纳米管和 UiO-66-NH 的聚苯胺复合材料,用作吸附剂来提取多环芳烃(PAHs)中的菲、荧蒽和芘。通过扫描电子显微镜、X 射线光电子能谱、傅里叶变换红外光谱和动电电位法对其表面形貌、晶体结构和吸附 PAHs 的能力进行了表征。结果表明,π 堆积和阴离子-π 相互作用在吸附机制中起主导作用。将该复合材料修饰的纤维与高效液相色谱法结合,通过直接浸提法检测湖水样品中的多环芳烃。该方法具有以下优点:(a)较宽的线性范围(0.05-20ng mL);(b)较低的检测限(10pg mL);(c)从加标样品中获得了令人满意的回收率(84.7-113.8%);(d)良好的重现性(相对标准偏差小于 6.5%)。与具有质谱检测的一些预处理方法相比,该方法在成本和重现性方面具有优势。