Abstract
The Laser Induced Breakdown Spectroscopy (LIBS) is a fast, non-contact, no sample preparation analytic technology; it is very suitable for on-line analysis of alloy composition. In the copper smelting industry, analysis and control of the copper alloy concentration affect the quality of the products greatly, so LIBS is an efficient quantitative analysis technology in the copper smelting industry. But for the lead brass, the components of Pb, Al and Ni elements are very low and the atomic emission lines are easily submerged under copper complex characteristic spectral lines because of the matrix effects. So it is difficult to get the online quantitative result of these important elements. In this paper, both the partial least squares (PLS) method and the calibration curve (CC) method are used to quantitatively analyze the laser induced breakdown spectroscopy data which is obtained from the standard lead brass alloy samples. Both the major and trace elements were quantitatively analyzed. By comparing the two results of the different calibration method, some useful results were obtained: both for major and trace elements, the PLS method was better than the CC method in quantitative analysis. And the regression coefficient of PLS method is compared with the original spectral data with background interference to explain the advantage of the PLS method in the LIBS quantitative analysis. Results proved that the PLS method used in laser induced breakdown spectroscopy was suitable for simultaneous quantitative analysis of different content elements in copper smelting industry.
Highlights
In the field of metallurgical industry, current and the conventional analysis methods are chemical analysis, spark atomic emission spectrometry, flame atomic absorption spectrometry and so on
partial least squares (PLS) method was compared with the traditional calibration curve(CC) method to verify the superiority in the Laser Induced Breakdown Spectroscopy (LIBS) quantitative analysis
The Advantage of PLS Method In PLS method, the regression coefficient means the relationship between all independent variable X and dependent variable Y, it can be calculated in the corresponding number of principal components
Summary
In the field of metallurgical industry, current and the conventional analysis methods are chemical analysis, spark atomic emission spectrometry, flame atomic absorption spectrometry and so on These methods require the sample pretreatment and analysis process is more complex, increasing the metallurgical production time and causing a great deal of energy and material waste. Laser Induced Breakdown Spectroscopy (LIBS) is an emission spectrum analysis technology which uses a pulse laser as the energy source and both qualitative and quantitative analysis of elements can be achieved [1,2]. It is a fast, noncontact, no sample preparation analysis technology and becomes a hot topic in the field of spectral analysis in recent years [3,4,5]. PLS method was compared with the traditional calibration curve(CC) method to verify the superiority in the LIBS quantitative analysis
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