Qualitative And Quantitative Analysis Of Organic Pollutants In Water Based On Three-dimensional Fluorescence Specstra Technology

With the development of the chemical industry,a large number of organic pollutants are produced,and they are along with the discharge of wastewater waste into the water body.When these pollutants reach a certain concentration,they will cause harm to human health and cause damage to the ecological environment.In order to monitor the discharge of industrial waste water and prevent organic pollutants from causing irreparable damage to the environment,it is important to study accurate,rapid,and sensitive detection methods for organic pollutants in water.Fluorescence spectrum detection technology has high sensitivity,and it can analyze trace substances as well as have strong selectivity,so this method is more and more widely used in the detection of organic pollutants.In this paper,three-dimensional fluorescence spectroscopy and chemometrics algorithms in fluorescence detection technology will be used to qualitatively and quantitatively analyze the multi-component organic mixed system.With naphthalene,1-naphthol,and 2-naphthol as the research objects,firstly,single-component solutions and mixed solutions with different concentrations are prepared,and three-dimensional fluorescence spectral data are obtained by scanning the solution with a fluorescence spectrometer.According to the experimental data,the fluorescence characteristics of the analytes are analyzed,which provided a theoretical basis for the establishment of quantitative qualitative analysis models.In view of the existence of redundant noise in the acquired fluorescence spectrum this paper proposes the use of full integration empirical mode decomposition combined with wavelet threshold change algorithm to denoise the fluorescence spectral data.The signal-to-noise ratio,root-mean-square difference,and smoothness of the denoised signal are used as indexes to measure the denoising performance.It shows that the algorithm has a good denoising effect.1-naphtho,2-naphthol are as the interest substance and naphthalene as an interferent for sample preparation,Self-weighted alternating trilinear decomposition which has‘second-order dominance' is used to analyze the fluorescence spectra.The experimentalresult shows that even in the presence of interference,self-weighted alternative trilinear decomposition can also accurately decompose and predict the components of interest.1-naphthol and 2-naphthol mixtures as the research object,using the difference method instead of the derivation to improve the fast independent component analysis algorithm.The improved algorithm is used to extract the independent components of spectral data to realize the identification of single components.Using support vector regression to establish a regression model to achieve quantitative analysis of organic pollutants.Comparing this algorithm with the parallel factor algorithm,the improved fast independent component analysis algorithm is much faster than the parallel factor when the prediction results are basically the same.