王茜, 郑国颖, 刘英莉, 郝玉兰, 高红霞, 李清钊, 蒋守芳, 王曼曼, 白玉萍. 大气PM2.5中18种多环芳烃的高效液相色谱分析方法[J]. 环境与职业医学, 2016, 33(3): 278-282. DOI: 10.13213/j.cnki.jeom.2016.15413
引用本文: 王茜, 郑国颖, 刘英莉, 郝玉兰, 高红霞, 李清钊, 蒋守芳, 王曼曼, 白玉萍. 大气PM2.5中18种多环芳烃的高效液相色谱分析方法[J]. 环境与职业医学, 2016, 33(3): 278-282. DOI: 10.13213/j.cnki.jeom.2016.15413
WANG Qian, ZHENG Guo-ying, LIU Ying-li, HAO Yu-lan, GAO Hong-xia, LI Qing-zhao, JIANG Shou-fang, WANG Man-man, BAI Yu-ping. Establishment of High Performance Liquid Chromatography Approach for 18 PAHs in Ambient PM2.5[J]. Journal of Environmental and Occupational Medicine, 2016, 33(3): 278-282. DOI: 10.13213/j.cnki.jeom.2016.15413
Citation: WANG Qian, ZHENG Guo-ying, LIU Ying-li, HAO Yu-lan, GAO Hong-xia, LI Qing-zhao, JIANG Shou-fang, WANG Man-man, BAI Yu-ping. Establishment of High Performance Liquid Chromatography Approach for 18 PAHs in Ambient PM2.5[J]. Journal of Environmental and Occupational Medicine, 2016, 33(3): 278-282. DOI: 10.13213/j.cnki.jeom.2016.15413

大气PM2.5中18种多环芳烃的高效液相色谱分析方法

Establishment of High Performance Liquid Chromatography Approach for 18 PAHs in Ambient PM2.5

  • 摘要: 目的

    采用高效液相色谱-紫外荧光(HPLC-UV-FLD)检测技术,建立大气细颗粒物(PM2.5)中18种多环芳烃(PAHs)的分析方法。

    方法

    利用超声波辅助提取-固相萃取法分离富集PM2.5样品中的PAHs,对不同的提取溶剂及比例进行回收率比较,得到最优处理条件,建立基于HPLC-UV-FLD的PM2.5中PAHs的分析方法,采用外标法定量。

    结果

    优化色谱条件后,18种PAHs在40 min内达到基线分离,方法的精密度为2.9%~11%,方法回收率为58.4%~105.3%。苊烯和苊的线性范围在0.05~50 μg/mL,其余16种PAHs的线性范围均为0.01~50 μg/mL,相关系数均大于0.997。结论该方法灵敏度高,线性范围宽,适用于PM2.5中18种PAHs的检测。

     

    Abstract: Objective

    To establish an analytical approach for determining 18 polycyclic aromatic hydrocarbons (PAHs) in atmospheric fine particulate matters (PM2.5) by high performance liquid chromatography with ultraviolet fluorescence detection (HPLC-UV-FLD).

    Methods

    The PAHs in PM2.5 samples were separated and enriched by ultrasonic assisted extraction combined with solid phase extraction. The optimal processing conditions were obtained by comparing the recovery rates estimated from selected extraction solvents and related proportions, which was then used to establish an analytical approach for the PAHs in PM2.5 based on HPLC-UV-FLD with external standard quantification.

    Results

    After optimization of chromatographic conditions, the 18 PAHs reached the baseline separation in 40 min. The precisions were 2.9%-11%, and the recovery rates were 58.4%-105.3%. The linear ranges were 0.05-50 μg/mL for acenaphthylene and acenaphthene and 0.01-50 μg/mL for the remaining 16 PAHs, with calculated correlation coefficients all greater than 0.997.

    Conclusion

    The method with high sensitivity and wide linear range could be applied to the detection of 18 kinds of PAHs in atmospheric PM2.5.

     

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