Measurement Techniques And Experiment Research Of Polycyclic Aromatic Hydrocarbons Based On Fluorescence

Environmental pollution is a global problem which concludes air pollution, waterpollution and soil pollution. There are so many materials that lead to environmentalpollution in which polycyclic aromatic hydrocarbons is the most widely distribution、thelongest incubation period and has a strong carcinogenic. It’s of great significance tomonitor the content of PAHs in the environment in real time. Using fluorescencespectrometry to detect and identify the polycyclic aromatic hydrocarbons promotes thedevelopment of the cause of the environmental protection. But polycyclic aromatichydrocarbons with a large number of isomers that the fluorescence spectrum of the mixedsolution overlap is serious which makes it difficult to detect each component content inthe solution using a single fluorescence, this topic combine the chemometrics andflorescence spectrum to analysis the qualitative and quantitative of mixture of polycyclicaromatic hydrocarbons, and the effectiveness of the method is verified by experiment.First of all, study the test status of the PAHs at home and abroad, and then combinewavelet transform and neural network together to identify the mixture of fluorescencespectrum, in view of the spectral overlap serious condition, proposed choosing the waveletthreshold function to deal with the noise of fluorescence spectrum data first, and then takethe data that after denoising as the input data of RBF neural network to identify thefluorescent light of mixture, the experiment results show the effectiveness of the proposedmethod. Due to the input data of the neural network is the data that after waveletde-noising, it is not only to extract the characteristic data of original data, but also makesthe neural network input dimension significantly reduced, and improve the identificationspeed of polycyclic aromatic hydrocarbons greatly.