Multi-component three-dimensional fluorescence aliasing spectrum data processing method based on differential spectrum

Abstract

The invention discloses a data processing method for effectively solving a multi-component overlapped three-dimensional fluorescence spectrum based on differential spectrum. The method comprises the following steps of: by carrying out two-dimensional expansion on a three-dimensional fluorescence spectrum and expanding the three-dimensional fluorescence spectrum into a excitation spectrum and a transmission spectrum; respectively calculating differential spectrums of the excitation spectrum and the transmission spectrum; before carrying out the differential spectrum calculation on the excitation spectrum and the transmission spectrum, carrying out cubic spline interpolation on the excitation spectrum, and carrying out roughness punishment smoothing treatment on the transmission spectrum; and finally carrying out independent component analysis to realize the accurate component identification and single component extraction of a multi-component mixture, thereby realizing the precise separation of a multi-component three-dimensional fluorescence severe overlapped spectrum and the accurate identification and extraction of the components. The method is applicable to data processing on all multi-component three-dimensional fluorescence aliasing spectrums which use a three-dimensional fluorescence spectrum technique as analysis means; method basis for further application of the three-dimensional fluorescence spectrum technique is provided, and the method has very wide application prospect.

Description

technical field [0001] The invention belongs to the spectrum analysis technology, in particular to a multi-component three-dimensional fluorescence mixing spectrum data processing method based on differential spectrum. Background technique [0002] Three-dimensional fluorescence spectroscopy is a new fluorescence analysis technique developed in recent decades. The main feature of this technology that is different from ordinary fluorescence analysis is that it can obtain the fluorescence intensity information when the excitation wavelength and emission wavelength change at the same time, provide more complete spectral information than conventional fluorescence spectroscopy, and have large data selectivity, so it is used as a Valuable spectral fingerprinting techniques are applied to the qualitative and quantitative analysis of multi-component mixtures. [0003] At present, the second-order correction method represented by the PARAFAC algorithm is the most widely used for dat...

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of serious overlapping of multi-component three-dimensional fluorescence spectra, and provide a data processing method based on differential spectrum to effectively solve the problem of multi-component overlapping three-dimensional fluorescence spectra, and to perform data processing and calculation with differential spectrum effectively reduces multiple The correlation between the spectra of the components makes the spectral band structure of different components sharper and the resolution is greatly improved; the independent component analysis solves the component identification and single component extraction of the multi-component mixture under the condition that the differential spectrum does not satisfy the trilinear model , and the similarity coefficient of the differential spectrum extracted by the independent component analysis is much larger than the corresponding similarity coefficient of the original spectrum, which improves the correct rate of component identification

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