摘要

When analyzing coal by laser-induced breakdown spectroscopy, volatiles are released from the coal and ignited in the air under thermal effects, leading to uncertainties in the analysis. A method of applying local argon gas to the sample surface is proposed to suppress the combustion of volatiles and reduce the matrix effect, thus improving the accuracy of quantitative analysis. The results showed that the intensity and duration of the combustion flame and the signal intensity and duration of the Na and K elemental spectral lines in the spectrum decreased after the application of the local argon atmosphere, and the signal intensity and stability of the C and H spectral lines were significantly enhanced, indicating that the local argon atmosphere effectively suppressed the combustion of volatiles and improved the spectral signal quality. The effects of partial least squares method for quantitative analysis of coal volatile content in air and argon atmosphere were compared, and the results showed that the local argon atmosphere effectively improved the quantitative analysis performance, and the root mean square error of prediction decreased from 1.652% to 1.488%, the average relative error decreased from 6.148% to 5.041%, and the average absolute error also decreased slightly from 1.263% to 1.240%. ? 2023 Science Press.