激发-发射荧光矩阵结合二阶校正方法检测湖水中多环芳烃

Determination of polycyclic aromatic hydrocarbons in lake water using excitation-emission fluorescence matrix coupled with second-order calibration algorithm

多环芳烃广泛存在于大气、土壤和水环境中,对动植物和人类有着严重危害。为了快速检测水环境中的痕量多环芳烃(Polycyclic Aromatic Hydrocarbons,PAHs),本文提出利用激发-发射荧光矩阵结合自加权交替归一残差拟合算法(Self-Weighted Alternating Normalized Residual Fitting Algorithm,SWANRF)检测湖水中的菲、蒽和荧蒽。与自加权交替三线性分解方法相比,SWANRF能够给出更满意的浓度预测结果,菲、蒽和荧蒽的平均回收率分别为(99.2±7.2)%,(101.7±7.7)%和(97.9±5.1)%;菲、蒽和荧蒽的预测均方根误差值分别为0.240,0.249和0.247μg/L。实验结果表明,文章提出的方法能够实现未知干扰物共存的湖水中痕量多环芳烃的快速检测,且方法可靠。

Polycyclic aromatic hydrocarbons (PAHs) widely exist in the atmosphere, soil, and water, and are severely harmful to animals, plants, and humans. Excitation-emission fluorescence matrix coupled with the self-weighted alternating normalized residue fitting algorithm (SWANRF) was proposed to determine the trace concentrations of PAHs phenanthrene, anthracene, and fluoranthene in lake water. Compared with the self-weighted alternating trilinear decomposition method, SWANRF provided more satisfactory concentration prediction results. The average recoveries of phenanthrene, anthracene, and fluoranthene are (99.2±7.2)%, (101.7±7.7)%, and (97.9±5.1)%, respectively. The predicted root mean square error values are 0.240 μg/L for phenanthrene, displacement 0.249 μg/L for anthracene, and 0.247 μg/L for fluoranthene. The experimental results demonstrate that the proposed method is reliable and can achieve simultaneous and rapid determination of trace PAHs in lake water with unknown interference.