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三阶校正应用于处理表面活性剂调制的激发-发射矩阵四维荧光数据,用于直接测定油田采出水中的四种多环芳烃。

Third-order calibration applied to process surfactant-modulated excitation-emission matrix four-way fluorescence data for the direct determination of four polycyclic aromatic hydrocarbons in oilfield produced water.

作者信息

Geng Tao, Fan Maoqing, Wang Yan, Chen Ying, Yin Xiao-Li, Chen Wu, Gu Hui-Wen

机构信息

Hubei Engineering Research Center for Clean Production and Pollutant Control of Oil and Gas Fields, College of Chemistry and Environmental Engineering, Yangtze University, Jingzhou, 434023, China.

Hunan Changsha Eco-Environmental Monitoring Center, Changsha, 410000, China.

出版信息

Talanta. 2024 Apr 1;270:125621. doi: 10.1016/j.talanta.2023.125621. Epub 2024 Jan 1.

Abstract

Fluorescence spectroscopy is a powerful tool to determine polycyclic aromatic hydrocarbons (PAHs) owing to the strong endogenous fluorescence of these compounds. However, the presence of unknown interferences and overlapped spectra hinders the accurate determination of PAHs in oilfield produced water. Moreover, surfactants frequently coexist in oilfield produced water and will seriously affect the fluorescence signals of PAHs. Herein, a new methodology applying third-order calibration to process four-way (4D) fluorescence data was proposed to solve these problems and achieve accurate determination of pyrene, fluorene, phenanthrene, and fluoranthene as an example in oilfield produced water. The methodology is based on excitation-emission matrix fluorescence modulated by different concentrations of sodium dodecyl benzene sulfonate (SDBS) in the analyzed samples. The 4D fluorescence data were processed by third-order calibration methods including four-way parallel factor analysis (4-PARAFAC) and alternating weighted residue constraint quadrilinear decomposition (AWRCQLD), and the results were compared with those of second-order calibration methods. It was proved that third-order calibration was capable of accurately identifying and quantifying PAHs together with SDBS in oilfield produced water, which has better quantitative results and figures of merit compared to second-order calibration. This study provided a new approach to generating 4D fluorescence data and opened up an avenue for the accurate determination of PAHs in complex oilfield produced water with surfactants.

摘要

荧光光谱法是一种用于测定多环芳烃(PAHs)的强大工具,这是由于这些化合物具有较强的内源荧光。然而,未知干扰物的存在和光谱重叠阻碍了对油田采出水中PAHs的准确测定。此外,表面活性剂经常共存于油田采出水中,并且会严重影响PAHs的荧光信号。在此,提出了一种应用三阶校正来处理四维(4D)荧光数据的新方法,以解决这些问题,并以油田采出水中的芘、芴、菲和荧蒽为例实现其准确测定。该方法基于分析样品中不同浓度的十二烷基苯磺酸钠(SDBS)调制的激发-发射矩阵荧光。通过包括四维平行因子分析(4-PARAFAC)和交替加权残差约束四线性分解(AWRCQLD)在内的三阶校正方法处理4D荧光数据,并将结果与二阶校正方法的结果进行比较。结果表明,三阶校正能够准确识别和定量油田采出水中的PAHs和SDBS,与二阶校正相比,具有更好的定量结果和品质因数。本研究提供了一种生成4D荧光数据的新方法,并为准确测定含有表面活性剂的复杂油田采出水中的PAHs开辟了一条途径。

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