首页> 外文期刊>Journal of Chemometrics >Chemometric determination of PAHs in aerosol samples by fluorescence spectroscopy and second-order data analysis algorithms
【24h】

Chemometric determination of PAHs in aerosol samples by fluorescence spectroscopy and second-order data analysis algorithms

机译:荧光光谱法和二阶数据分析算法化学测定气溶胶样品中的多环芳烃

获取原文
获取原文并翻译 | 示例
           

摘要

The development of a method based on the combination of excitation–emission fluorescence matrices (EEMs) and second-order algorithms is proposed to identify and quantify 10 polycyclic aromatic hydrocarbons (PAHs) in extracts of aerosol samples, a particularly complex sample matrix because of the low amount of PAHs and the numerous fluorescent interferences. Parallel factor analysis, unfolded partial least squares coupled to residual bilinearization (RBL) and multivariate curve resolution – alternating least squares offered satisfactory results for their identification and quantification and were also helpful for the optimization of the extraction procedure for these substances by means of analysis of a standard reference material. Multivariate curve resolution – alternating least squares and parallel factor analysis combined with EEM proved to be fast and cheap analysis methods that are able to do semiquantitative monitoring of PAHs patterns in the inhalable and respirable fractions of atmospheric aerosols, important features for routine environmental monitoring. Accurate quantifications could also be achieved when the strategy of standard addition method was used. Unfolded partial least squares/RBL achieved slightly better quantitative results when sample matrices were moderately complex; in aerosol sample analysis, the selection of number of RBL contributions turned particularly difficult— because of the lack of information on the sample composition—and the time-consuming application of the method did not suggest its use for routine environmental monitoring. Finally, results of EEM with second-order methods in agreement with gas chromatography-mass spectrometry analysis of ambient air samples proved the suitability of the methodology proposed because of the sensitivity of fluorescencemeasurements and the lower analytical cost and fast computation time compared with standard analytical procedures.
机译:提出了一种基于激发-发射荧光矩阵(EEM)和二阶算法相结合的方法的开发方法,以鉴定和量化气溶胶样品提取物中的10种多环芳烃(PAH),这是一种特别复杂的样品基质,因为PAHs含量低,荧光干扰很多。平行因子分析,展开的偏最小二乘法与残留双线性化(RBL)和多元曲线分辨率耦合–交替最小二乘为它们的鉴定和定量提供令人满意的结果,并且还有助于通过分析以下物质来优化这些物质的提取程序标准参考资料。多变量曲线分辨率–交替最小二乘法和并行因子分析与EEM相结合是一种快速,廉价的分析方法,能够对大气雾剂的可吸入和可吸入部分中的PAHs模式进行半定量监测,这是常规环境监测的重要特征。当使用标准添加方法的策略时,也可以实现准确的定量。当样品基质为中等复杂度时,展开的偏最小二乘/ RBL定量结果略好。在气溶胶样品分析中,由于缺乏样品成分的信息,选择RBL贡献的数量变得特别困难,而且该方法耗时的应用并未表明该方法可用于常规环境监测。最后,采用二阶方法进行EEM的结果与环境空气样品的气相色谱-质谱分析相吻合,证明了该方法的适用性,因为与标准分析程序相比,荧光测量的灵敏度高,分析成本低,计算时间短。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号