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Alternating trilinear decomposition of highly overlapped chromatograms for simultaneously targeted quantification of 15 PAHs in samples of pollution source

机译:交替的三线性分解高度重叠的色谱图,同时针对污染源的样品进行了15个PAH的定量

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Polycyclic aromatic hydrocarbons (PAHs) are of worldwide environmental concern because of their properties of carcinogenicity, mutagenicity and teratogenicity. In the work, a smart combination of gel permeation chromatography-diode array detector and second-order calibration based on alternating trilinear decomposition (ATLD-GPC-DAD) is proposed for simultaneous targeted identification and quantification of 15 PAHs in atmospheric pollution sources such as flue-dust and greasy-dirt samples. No need of tedious sample pretreatment and specific PAHs separation column, severely overlapped chromatograph peaks are successfully resolved by the ATLD-GPC-DAD method even with only 3 s of difference in retention times. Accurate quantitative results of 15 PAHs are achieved by using the developed method even in the presence of unexpected interferents. The limits of detection range from 0.94 ng mL(-1) to 48.86 ng mL(-1), and the average recoveries are in the range of (81.2 +/- 1.0)% to (108.9 +/- 11.6)% for flue-dust samples and (89.7 +/- 3.4)% to (107.5 +/- 8.0)% for greasy-dirt samples. The sensitivity and selectivity of analytes is significantly improved with the aid of "mathematical separation" of the method. These results indicate that it opens a promising analytical strategy for control of PAHs emissions and management of urban air quality.
机译:多环芳烃(PAH)是全球环境问题,因为它们的致癌性,致突变性和致畸性的性质。在工作中,提出了一种凝胶渗透色谱 - 二极管阵列检测器和基于交替的三线性分解(ATLD-GPC-DAD)的二阶校准的智能组合,用于在大气污染源(如烟道)中同时有针对性的识别和量化15pah - 达到和油腻的污垢样本。不需要繁琐的样品预处理和特定的PAHS分离柱,即使在保留时间的差异中,ATLD-GPC-DAD方法也成功地解决了严重的重叠色谱峰。即使在存在意外干扰的情况下,也可以通过使用开发方法实现15pAh的准确定量结果。检测范围为0.94 ng ml(-1)至48.86ng ml(-1)的限制,并且平均回收率为烟道的(108.9 +/- 11.6)%(108.9 +/- 11.6)% - 对油脂污垢样品的达到样品和(89.7 +/- 3.4)%(107.5 +/- 8.0)%。借助于该方法的“数学分离”,分析物的敏感性和选择性显着改善。这些结果表明,它为控制PAHS排放和城市空气质量管理开辟了一个有前途的分析策略。

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