Liu Li, Zhou Xin, Wang Chun, Wu Qiuhua, Wang Zhi
Department of Chemistry, College of Science, Agricultural University of Hebei, Baoding, China.
J Sep Sci. 2015 Feb;38(4):683-9. doi: 10.1002/jssc.201401071.
A novel microextraction method, ordered mesoporous carbon reinforced hollow fiber liquid-phase microextraction coupled with high-performance liquid chromatography and fluorescence detection, was developed for the determination of some organic pollutants in water samples. Four polycyclic aromatic hydrocarbons (fluorene, anthracene, fluoranthene, and pyrene) were selected to validate this new method. Main parameters that could influence the extraction efficiency such as extraction time, fiber length, stirring rate, the type of the extraction solvent, pH value, the concentration of ordered mesoporous carbon, and salt effect were optimized. Under the optimal extraction conditions, good linearity was observed in the range of 2-1000 ng/L, with the correlation coefficients of 0.9954-0.9986. The recoveries for the spiked samples were in the range of 88.96-100.17%. The limits of detection of the method were 0.4-4 ng/L. The relative standard deviations varied from 4.2-5.9%. The results demonstrated that the newly developed method was an efficient pretreatment and enrichment procedure for the determination of polycyclic aromatic hydrocarbons in environmental water samples.
开发了一种新型微萃取方法——有序介孔碳增强中空纤维液相微萃取结合高效液相色谱和荧光检测法，用于测定水样中的一些有机污染物。选择了四种多环芳烃（芴、蒽、荧蒽和芘）来验证这种新方法。对可能影响萃取效率的主要参数，如萃取时间、纤维长度、搅拌速率、萃取溶剂类型、pH值、有序介孔碳浓度和盐效应进行了优化。在最佳萃取条件下，在2 - 1000 ng/L范围内观察到良好的线性关系，相关系数为0.9954 - 0.9986。加标样品的回收率在88.96 - 100.17%范围内。该方法的检测限为0.4 - 4 ng/L。相对标准偏差在4.2 - 5.9%之间。结果表明，新开发的方法是测定环境水样中多环芳烃的一种高效预处理和富集方法。
