Study On Detection Method Of Oil Pollutants Based On Three Dimensional Fluorescence Spectroscopy

Water pollution caused by mineral oil is an important environmental problem to be solved.Using effective methods to identify and detect the types and contents of oil pollution is the key to effectively solve the problem of water pollution.The laboratory fluorescence analysis experiment was carried out,and the carbon tetrachloride solution of oil mixture was prepared for fluorescence spectrum analysis.The main research work completed was as follows:1)Based on the photoluminescence mechanism and Lambert-Beer's law,the sample cell of quartz glass microchannel and fluorescence spectrum detection system with duallight path were designed to enhance the intensity of the fluorescence signal and achieve high efficiency collection of the fluorescence.2)For the scattering interference in the fluorescence spectrum,blank deduction method was employed to eliminate the Raman scattering.The Rayleigh scattering was processed by Missing Data Recovery-Principal Component Analysis(MDR-PCA)method and compared with the Delaunay triangle interpolation method.The average absolute deviation between the fitting value and the real value after the Rayleigh scattering eliminated by Delaunay triangle interpolation method was 8.56%,while the other was2.74%.The results showed that the MDR-PCA was a more ideal method for Rayleigh scattering elimination.3)Combined with the advantages of parallel factor analysis,alternating trilinear decomposition and self-weighted alternating trilinear decomposition,a combined algorithm was proposed for qualitative resolution and quantitative determination of mixed solution of diesel,gasoline and kerosene.The average recovery rates of diesel,gasoline and kerosene were 96.68%,97.83% and 97.11% respectively.The recognition and analysis ability of complex mixture system was improved.Figure27;Table7;Reference 59...