LIBS quantitative solution method based on MART multiplicative reconstruction

Abstract

The invention discloses a LIBS quantitative solution method based on MART multiplicative reconstruction. The method includes steps of: establishing a quasi-optical tomography matrix model which quantitatively solves multielement LIBS, and performing high-precision MART iterative algorithm, which satisfies maximum entropy optimization principle, with matrix column vector decomposition to obtain anincidence matrix F; and performing high-precision solution and analysis to every element in an unknown sample by means of computing of an actual measurement normalized spectrum intensity vector and the incidence matrix of the unknown sample. By using the quasi-optical tomography model in the multivariate analysis calibration for solution, influence of competitive emitting of different elements ina chemical matrix effect is solved. By means of the MART tomography iterative algorithm on the basis of the maximum entropy principle, the incidence matrix satisfying the maximum entropy principle isacquired. The method fully utilizes the inherent relationship between LIBS spectrum distribution and content of the sample, thus increasing the quantitative analysis precision of the LIBS.

Description

technical field [0001] The invention relates to a laser spectrum quantitative analysis method, in particular to a laser-induced breakdown spectrum quantitative solution method, which is suitable for simultaneous quantitative solution and analysis of multiple elements in a detection target, and belongs to the field of photoelectric detection. Background technique [0002] In the laser-induced breakdown spectroscopy (LIBS) detection technology of material composition elements, the qualitative analysis of the target elements can be achieved well, but the quantitative analysis error is relatively large, mainly due to the atomic (ion) emission of LIBS. The intensity distribution of the spectral lines will be affected by the chemical matrix effect, that is, the emission lines of an element with the same content will be different in different matrices. [0003] In order to solve the influence of the chemical matrix effect on the quantitative analysis of LIBS, a multivariate analysi...

AI Technical Summary

Problems solved by technology

The advantage of this method is that it can eliminate the influence of chemical matrix effects on the accuracy of quantitative analysis to a certain extent. The disadvantage is that the accuracy of the solution algorithm depends on the previous multi-element calibration mathematical model and the design of the solution algorithm.

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