Study On Fluorescence Spectrum Technology Of Organic Pollutants Of Refined Oil In Complex Mixture

With the development of industry and transportation industry, the environmental pollution caused by crude oil and petroleum products has been paid close attention by people all the time. Oil pollution will not only lead to the deterioration of natural environment, such as soil, water, etc, but also may endanger the food safety of the food processing industry in each link. So fast and accurate identification and measurement of gasoline, diesel oil, kerosene and other refined oil, it is of great significance for the implementation of environmental pollution monitoring and controlling.The aim of this paper is to study the problem of the spectral overlapping and the difficulty to distinguish specific components and the content measurement of the samples.On the basis of the full study of the influence of the performance parameters of the spectrometer on the fluorescence spectra measurement of oil pollutants, the further study of the influence of the scattering spectrum on the measurement is made. Three dimensional fluorescence spectra of the corresponding configuration samples are measured. Based on the number, position and intensity of each fluorescence peak, a concrete analysis of fluorescence spectral characteristics of complex mixtures is made. It carries on that the thorough discussion of the positive effect of micellar fluorescence enhancement on the measurement and the negative effect of the presence of interfering substances on the measurement. The theory analysis and in-depth research of multivariate calibration analysis method and parallel factor analysis method are carried out. Through using the mathematical separation, the chemical separation is replaced and the identification and content measurement of different components in different samples are realized. The two dimensional excitation-emission spectra obtained by the parallel factor analysis are compared with the measured spectra, it is found that there is a high degree of agreement between the two. It is proved that the parallel factor analysis method can not only realize the accurate identification of the components of mixed solution samples, such as diesel oil, kerosene and gasoline, but also the concentration ratio and its changes of each component can be determined quantitatively.