洪月玲, 袁野, 石梦醒, 孙瑶. 大气细颗粒物(PM2.5)中多环芳烃的检测方法研究[J]. 环境卫生学杂志, 2019, 9(2): 184-189. DOI: 10.13421/j.cnki.hjwsxzz.2019.02.018
    引用本文: 洪月玲, 袁野, 石梦醒, 孙瑶. 大气细颗粒物(PM2.5)中多环芳烃的检测方法研究[J]. 环境卫生学杂志, 2019, 9(2): 184-189. DOI: 10.13421/j.cnki.hjwsxzz.2019.02.018
    HONG Yueling, YUAN Ye, SHI Mengxing, SUN Yao. Determination Method for Polycyclic Aromatic Hydrocarbons in Ambient PM2.5[J]. Journal of Environmental Hygiene, 2019, 9(2): 184-189. DOI: 10.13421/j.cnki.hjwsxzz.2019.02.018
    Citation: HONG Yueling, YUAN Ye, SHI Mengxing, SUN Yao. Determination Method for Polycyclic Aromatic Hydrocarbons in Ambient PM2.5[J]. Journal of Environmental Hygiene, 2019, 9(2): 184-189. DOI: 10.13421/j.cnki.hjwsxzz.2019.02.018

    大气细颗粒物(PM2.5)中多环芳烃的检测方法研究

    Determination Method for Polycyclic Aromatic Hydrocarbons in Ambient PM2.5

    • 摘要:
      目的 建立一种便捷、高效的方法来检测大气细颗粒物(PM2.5)中的16种多环芳烃(PAHs)。
      方法 乙腈—超声水浴萃取样品中的PAHs,经过ENV固相萃取柱净化,多环芳烃专用色谱柱分离,再用液相色谱—荧光—紫外检测器串联进行检测。
      结果 16种PAHs在线性范围内有良好的线性关系,相关系数均≥0.999 9,检出限范围为(0.04~0.26)ng/m3,平均回收率为85%~114.1%,相对标准偏差均小于8.0%。
      结论 本方法提取过程简单、灵敏度高、精密度高,适用于PM2.5中PAHs的污染分析。

       

      Abstract:
      Objective To establish a convenient and efficient method to detect 16 polycyclic aromatic hydrocarbons (PAHs) in PM2.5.
      Methods PAHs were extracted from samples via acetonitrile-ultrasonic water bath, purified by ENV solid-phase extraction column, separated by polycyclic aromatic hydrocarbon special chromatographic column, and then detected by liquid chromatography-fluorescence ultraviolet detector in combination.
      Results Sixteen kinds of PAHs had a good linear relationship within their respective linear range, and the correlation coefficients were all higher than 0.999 9. The range of limit of detection is (0.04~0.26) ng/m3, the average recovery rate is 85%~114.1%, and the relative standard deviations are all less than 8.0%.
      Conclusions This method has simple extraction process, high sensitivity, and high precision, and is suitable for the pollution analysis of PAHs in PM2.5.

       

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