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Method for simultaneously measuring hybrid pigment by synchronous fluorescence spectroscopy with RBF (Radial Basis Function) neural network

A technology of synchronizing fluorescence spectrum and neural network, applied in the field of rapid quantitative detection of synthetic pigments, it can solve the problem that linear quantitative models cannot be applied, and achieve the effect of reducing spectral overlap and narrowing the spectrum.

Inactive Publication Date: 2015-02-18
JIANGNAN UNIV
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Problems solved by technology

When multiple pigments are mixed with each other, spectral overlap occurs between the components, and the relationship between the concentration of their components and the fluorescence intensity is difficult to be a simple linear relationship even at low concentrations, and the traditional linear quantitative model cannot be applied

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  • Method for simultaneously measuring hybrid pigment by synchronous fluorescence spectroscopy with RBF (Radial Basis Function) neural network
  • Method for simultaneously measuring hybrid pigment by synchronous fluorescence spectroscopy with RBF (Radial Basis Function) neural network
  • Method for simultaneously measuring hybrid pigment by synchronous fluorescence spectroscopy with RBF (Radial Basis Function) neural network

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Embodiment Construction

[0016] Below in conjunction with accompanying drawing and according to the operation order of flowchart, the present invention will be further described:

[0017] a: Sample preparation. Taking the mixed solution of two synthetic pigments of acid red and new red at different concentrations as the experimental object, the concentration range of acid red and new red in the mixed solution is 5ug·ml -1 ~20ug·ml -1 . In this range, there is a non-linear relationship range for the concentration of acid red and new red and the intensity of synchronous fluorescence spectrum. according to figure 1 The concentration of Acid Red and New Red corresponding to the upper black dot was used to prepare a mixture of Acid Red and New Red, and a total of 169 experimental samples were obtained.

[0018] b: Simultaneous fluorescence spectrometry. After all the mixed samples are prepared, shake them well so that the acid red and new red can be fully and evenly mixed. Then measure its synchronou...

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Abstract

The invention discloses a method for simultaneously measuring hybrid pigment by synchronous fluorescence spectroscopy with an RBF (Radial Basis Function) neural network. The method disclosed by the invention comprises the steps of preparing for a sample, measuring by the synchronous fluorescence spectroscopy, denoising synchronous signals, establishing a nonlinear model of the RBF neural network, etc. Three-dimensional fluorescence spectrum is replaced by the synchronous fluorescence spectroscopy; with the help of the RBF neural network, spectrum can be narrowed; spectral overlap is reduced; and furthermore, synchronous measurement of hybrid pigment without any chemical separation can be realized by utilizing the nonlinear advantages of the neural network.

Description

technical field [0001] The invention provides a method for simultaneous determination of mixed pigments by synchronous fluorescence spectrum combined with RBF neural network, which belongs to the field of rapid quantitative detection of synthetic pigments. Background technique [0002] Synthetic food coloring is the most commonly used food additive, and the research on its toxicity, safety and detection technology has been paid more and more attention by scholars at home and abroad. Common detection methods for synthetic food pigments include high performance liquid chromatography, thin layer chromatography, capillary electrophoresis, liquid chromatography-mass spectrometry, spectrophotometry, polarography, and voltammetry. However, these existing detection methods each have a certain scope of application, and are mainly applicable to the detection of a single or limited number of targets. Moreover, these methods require more complex pre-processing of the sample to be teste...

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Application Information

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IPC IPC(8): G01N21/64G06N3/02
Inventor 陈国庆吴亚敏朱拓朱纯朱焯炜孔凡标
Owner JIANGNAN UNIV
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