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A Libs Quantitative Analysis Method Based on Circular Variable Screening for Non-linear PLS

A cyclic variable and quantitative analysis technology, applied in the field of spectral analysis, can solve problems such as over-fitting and spectral data dimensional data redundancy, and achieve the effect of improving accuracy and reducing modeling complexity

Active Publication Date: 2022-03-08
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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Problems solved by technology

[0005] The purpose of the present invention is to solve the data redundancy and overfitting problems caused by the excessively high dimension of spectral data for PLS modeling, as well as the nonlinear problem caused by the influence of self-absorption and matrix effects in the composition analysis of laser-induced breakdown spectroscopy , providing a LIBS analysis method based on circular variable screening nonlinear PLS to improve the accuracy of quantitative analysis

Method used

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  • A Libs Quantitative Analysis Method Based on Circular Variable Screening for Non-linear PLS

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Embodiment

[0040] Embodiment: A LIBS iron ore slurry quantitative analysis method based on cyclic variable screening nonlinear PLS. Flowchart such as figure 1 As shown, the specific description is as follows: In order to reduce the influence of self-absorption on the quantitative analysis of the element to be analyzed, select m characteristic spectral line intensities of the element to be analyzed E1, in order to reduce the interference of other elements, select h characteristic spectral lines of the main interfering element E2 strength. The p-degree polynomial form of its (m and h spectral line intensities) is added to the modeling of PLS ​​to approximately correct the nonlinear effects brought about by self-absorption and matrix effects, and at the same time reduce the interference of variable redundant information and reduce Model complexity, the optimal variable is determined by cyclic variable screening, and the model expression is:

[0041]

[0042] C is the element concentrat...

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Abstract

The invention relates to the field of spectrum analysis, in particular to a laser-induced breakdown spectrum quantitative analysis method based on circular variable screening nonlinear partial least squares. Aiming at the data redundancy caused by the high dimensionality of spectral data and the nonlinear problems caused by self-absorption and matrix effects, a LIBS analysis method based on circular variable screening nonlinear PLS was proposed to improve the accuracy of quantitative analysis. The specific steps are: (1) select the p-degree polynomial form of the analysis line intensity and the full-spectrum data for the training samples to perform PLS modeling; (3) cyclically screen the characteristic spectral line data according to the absolute value of the regression coefficient, and use the mean value of the verification set The square root error is used to find the optimal spectral line data; (4) Using the determined optimal variables, a nonlinear PLS model after cyclically screening variables is established. The invention provides a solution to the nonlinear problem caused by reducing the data dimension while reducing self-absorption and matrix effect, and improves the analysis precision.

Description

technical field [0001] The invention relates to the field of spectrum analysis, in particular to a laser-induced breakdown spectrum quantitative analysis method based on circular variable screening nonlinear partial least squares. Background technique [0002] At present, the commonly used methods for analyzing the composition of substances generally include chemical analysis and XRF fluorescence analysis. The chemical analysis method has high analysis accuracy, but the method is complicated to operate, has a long analysis period, and has low analysis efficiency, so it cannot achieve real-time online detection. XRF fluorescence analysis can realize on-line detection, but on-line detection cannot detect elements before atomic number 20, and X-rays are radioactive and potentially harmful. Laser-induced breakdown spectroscopy (LIBS) technology, as an emerging detection method, has a wide range of analytical elements, low requirements for the form of the substance to be tested ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/71G06F17/18
CPCG01N21/71G06F17/18
Inventor 孙兰香尚栋齐立峰陈彤谢远明
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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