Improved baseline correction method for laser-induced breakdown spectroscopy based on Hermite interpolation and its performance improvement on quantitative models of uranium ore
Uranium is widely used in many fields such as energy,medical,industrial and national defense,and it possesses very important strategic value.Laser-induced breakdown spectroscopy(LIBS)is a general technology for elemental analysis,which has been widely applied in various fields.During the analysis and detection of uranium ore with complex composition by LIBS,it is easily affected by the continuous back-ground radiation and scattered light,leading to the increase of baseline as well as inaccurate quantitative results.In order to improve the analysis results of uranium ore by LIBS,an improved baseline correction method was proposed in this paper to correct the baseline of uranium ore spectrum,thus enhancing the quantitative accuracy of multi-elements in uranium ore.This algorithm was improved based on piecewise cubic Hermite interpolation.The improved method,the modified least squares method(Modpoly),im-proved modified least squares method(Imodpoly)and adaptive iterative reweighting punishment least square method(airPLS)was applied for the treatment of simulated spectra,respectively.The comparison results showed that the improved method achieved a signal-to-noise ratio of 13.025 in processing simulated spectra,which was higher than the other three methods.When the spectral baseline was corrected based on the improved method,the determination coefficient(R2)of univariate model for LIBS quantification of multi-elements in uranium ore was improved significantly.Moreover,the total error of prediction in multi-variable model was only 0.737％,and the R2 of multivariable model increased from 0.955 27 to 0.979 36.The improved baseline correction method proposed in this study could well enhance the accuracy of quantitative analysis of uranium ore by LIBS.
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