土壤石油烃总量三维荧光光谱定量分析方法研究

Algorithmic study of total petroleum hydrocarbons in contaminated soil by three-dimensional excitation-emission matrix fluorescence spectroscopy

混合石油烃污染土壤中准确的种类识别和含量检测有助于土壤石油烃污染总量的检测。石油烃是多种化合物的混合,而三维激发发射荧光光谱技术含有大量的荧光光谱信息,故被用于快速定性和定量检测土壤石油烃污染,但该技术仍面临着石油烃组分的准确识别以及土壤背景干扰引起的定量分析问题。本文研究了土壤石油烃污染物的三维荧光光谱复杂基质和散射效应校正方法,最大程度地保留了光谱信息。为了提高土壤石油烃定性识别和含量检测精度,本文以机油、润滑油和柴油为例,采用平行因子和交替三线性分解法对不同类型混合土壤石油烃污染进行定性和定量分析。实验结果表明,与平行因子法对土壤混合石油烃污染的检测结果相比,交替三线性分解法将土壤混合石油烃污染的平均回收率由85%提高至95%,说明交替三线性分解法能更好地分离相似荧光光谱,对土壤中石油成分和总含量的检测更有效,其可为土壤石油烃污染风险评估提供快速检测方法。

Assessment of Total Petroleum Hydrocarbons(TPHs)from contaminated soils demands reliable measurement to analyze the types and contents of mixed petroleum hydrocarbons in soils.Three-dimensional excitation-emission matrix(3DEEM)fluorescence spectroscopy has been demonstrated as a powerful technology for rapidly analyzing mixed petroleum hydrocarbons by identifying its abundant spectral information.However,detection precision in soil still demands improvement.This study investigates the correction methods of 3DEEM fluorescence spectra to correct the complicated matrix and scattering effects of soils.To improve the analytical accuracy,parallel factor analysis(PARAFAC)and the Alternating Trilinear Decomposition method(ATLD)were used to qualitatively and quantitatively analyze mixed petroleum contaminated soils.The methods were used to assess three commonly observed petroleum hydrocarbons:machine oil,lubricating oil,and diesel oil.Compared with the results of PARAFAC,the average recoveries of ATLD increased from 85% to 95%,implying that ATLD can effectively distinguish between similar fluorescence spectra and is more effective in the detection of the components and total content of petroleum in soil.This work can have applications of risk assessment and remediation techniques.