Improvement in detection stability and prediction accuracy of laser-induced breakdown spectroscopy based on plasma acoustic correction using a quartz tuning fork

To improve the stability and accuracy of quantitative analysis in laser-induced breakdown spectroscopy (LIBS), a correction method of laser induced breakdown spectroscopy using a quartz tuning fork was developed. In this experiment, Cr, Cu, Ni and Mn in steel samples were selected as the target analytes. The laser-induced plasma acoustic and spectral signals were simultaneously acquired using a quartz tuning fork and spectrometer, with the acoustic signal subsequently was used to correct the spectral signal. The results indicated that, compared to the original spectral intensities, the average relative standard deviation (ARSD) of the four elements decreased from 7.07 % to 5.02 %. The average coefficient of determination (R²) of the calibration curves improved by 1.02 %, rising from 0.976 to 0.986. The average relative error (ARE) of the predicted values decreased from 23.16 % to 11.46 %. After acoustic correction using the quartz tuning fork, the R² and the average prediction error of the calibration curve are both superior to those of the internal standard method. The results demonstrated that acoustic correction based on the quartz tuning fork can significantly enhance the stability of spectral signals and effectively improve the accuracy of calibration models.