Abstract: To address the technical bottleneck of rapid analysis of key elements in the production site of oil refining catalysts, this study innovatively applied Laser Induced Breakdown Spectroscopy (LIBS) technology and developed a highly efficient and radiation-free rapid quantitative analysis method for multiple elements in catalysts. Based on the spectral data collected from industrial samples of bulk molecular sieves and dry gel powder, combined with Partial Least Squares Regression (PLSR), a quantitative model was established. The analytical performance of this method in complex catalyst systems was systematically verified. The results demonstrated that this method has the capability to simultaneously and rapidly detect multiple elements in catalysts. The analysis process for a single sample takes less than 2 minutes, and can also detect the carbon content in dry gel powder. The average deviation of the main component Al₂O₃ test was0.35%, andthe trace component Na₂O maintained excellent accuracyand repeatability even at extremely low content of 0.007%. The absolute deviation of SO4^2－ detection in molecular sieves was less than 0.09%. This study confirmed that LIBS technology is highly efficient, safe, and accurate in catalyst quality control, providingsolution for rapid on-site detection in industry.

Key words: laser induced breakdown spectroscopy, partial least squaresregression, catalytic materials, rapid analysis