Correction method of the fluorescence intensity of petroleum hydrocarbons in different soil types based on resonance scattering spectroscopy

被引:0
|
作者
Yang, Jinqiang [1 ,2 ,3 ]
Yang, Ruifang [1 ,3 ]
Zhao, Nanjing [1 ,3 ]
Shi, Gaoyong [1 ,2 ,3 ]
Liu, Wenqing [1 ,3 ]
机构
[1] Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
[2] Univ Sci & Technol China, Hefei 230026, Anhui, Peoples R China
[3] Key Lab Opt Monitoring Technol Environm Anhui Prov, Hefei 230031, Anhui, Peoples R China
关键词
Soil; Petroleum Hydrocarbons; Fluorescence spectroscopy; Resonance scattering spectroscopy; Correction; LASER-INDUCED FLUORESCENCE; PAHS;
D O I
10.1016/j.saa.2023.123174
中图分类号
O433 [光谱学];
学科分类号
0703 ; 070302 ;
摘要
Soil types has an obvious impact influence on the fluorescence intensity of soil petroleum hydrocarbons. To reduce the interference caused by soil types, this paper proposes a calibration method using resonance scattering spectroscopy. To establish the correction method, 100 g/kg crude oil samples from six soil types were prepared. The mission and resonance scattering spectrum under 280 nm excitation were measured for all samples. The results showed that the fluorescence spectra and resonance scattering spectra of soil crude oil vary with different soil types. And the fluorescence peak intensity and the resonance scattering peak intensity at 360 nm of soil petroleum hydrocarbons are highly correlated in different soil types. The fluorescence peak intensity at 360 nm was divided by the resonance scattering light intensity at 360 nm to obtain the corrected fluorescence intensity, which can effectively reduce the influence of soil type on fluorescence intensity. The feasibility of correction method was further verified for different types and concentrations of soil crude oil. The results showed better linearity between the fluorescence intensity and the concentration of Petroleum Hydrocarbons after the correction (with a correlation coefficient R(2 )of 0.96) than before the correction (with R(2 )of 0.72), the mean relative prediction error of all samples decreased from 31.92 % to 4.71 % after correction. The research can provide theoretical basis and technical support for the accurate and rapid detection of Petroleum Hydrocarbons in soil by fluorescence spectroscopy.
引用
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页数:6
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