Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

LIBS quantitative analysis method based on algebraic reconstruction incident vector solution

A quantitative analysis and algebraic reconstruction technology, applied in the field of photoelectric detection, can solve the problems of quantitative analysis accuracy limitation, influence, and solution algorithm accuracy, and achieve the effect of improving quantitative analysis accuracy.

Active Publication Date: 2018-08-24
SHANGHAI INST OF TECHNICAL PHYSICS - CHINESE ACAD OF SCI
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The advantage of this method is that it is relatively simple and practical, but the disadvantage is that it will be affected by the chemical matrix effect, and the accuracy of quantitative analysis is limited; the multivariate analysis method can simultaneously calibrate multiple calibration samples for multiple spectral lines of various elements of the target to be measured , by solving the multivariable mathematical matrix equation, the content of various elements of the target to be measured can be obtained
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.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • LIBS quantitative analysis method based on algebraic reconstruction incident vector solution
  • LIBS quantitative analysis method based on algebraic reconstruction incident vector solution
  • LIBS quantitative analysis method based on algebraic reconstruction incident vector solution

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The object of the present invention is to provide a kind of multivariate LIBS quantitative analysis and solving method, use high-precision optical tomography reconstruction model for multivariate LIBS quantitative solution problem modeling, set up standard sample normalized spectral intensity matrix W, correlation matrix F, The relationship between the standard sample atomic fraction matrix P; using the high-precision ART iterative algorithm in optical tomography combined with matrix column vector decomposition, iteratively solves the column vectors of the correlation matrix F column by column, so as to obtain the relationship between W and P The incidence matrix F of the connection. Then, according to the operation of the measured normalized spectral intensity vector and the correlation matrix of the unknown sample, the high-precision solution analysis of each element in the unknown sample is realized, and the solution accuracy problem of LIBS multivariate analysis is s...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an LIBS quantitative analysis method based on algebraic reconstruction incident vector solution. The method includes the steps of: employing a high precision optical tomographyreconstruction model for modeling of a multielement LIBS quantitative solving problem, and establishing a relationship among a standard sample normalized spectrum intensity matrix W, an incidence matrix F, and a standard sample atom fraction matrix P; performing column-by-column iteration solution to the column vectors of the incidence matrix F by means of high-precision ART iterative algorithm in optical tomography with combination of matrix column vector decomposition, thereby obtaining an incidence matrix F which reflects the correlation between the W and the P; and then according to the computing of an actual measurement normalized spectrum intensity vector and the incidence matrix of an unknown sample, achieving high-precision solution and analysis to every element in the unknown sample. By means of the method, influence of competitive emitting of different elements in a chemical matrix effect is solved. Through the ART tomography iterative algorithm for solution, the incidence matrix columns with minimum absolute error are obtained, thus increasing quantitative analysis precision of the LIBS.

Description

technical field [0001] The invention relates to a laser spectrum detection method, in particular to a quantitative laser-induced breakdown spectrum analysis method, which is suitable for simultaneous quantitative analysis and analysis of multiple elements in a detection target, and belongs to the field of photoelectric detection. Background technique [0002] Laser-induced breakdown spectroscopy (LIBS for short) uses short-pulse laser to focus on the target surface, and its instantaneous high temperature causes the target to be denuded to generate plasma. The spectral lines of information can be used to detect the constituent elements of matter. LIBS technology can achieve qualitative analysis of target elements well, but there are many difficulties in quantitative analysis, including: ablation hole effect, chemical matrix effect, etc. [0003] LIBS quantitative analysis is divided into unit analysis and multivariate analysis methods. The unit analysis method calibrates a ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G01N21/71
CPCG01N21/718
Inventor 万雄袁汝俊王泓鹏何强
Owner SHANGHAI INST OF TECHNICAL PHYSICS - CHINESE ACAD OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products