摘要：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 tech- nology
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.
