In-situ dynamic correction of progressive ablation fluctuations in laser-induced breakdown spectroscopy (LIBS) using Raman spectroscopy and deep learning.

Journal: Talanta
Published Date: Feb 17, 2025

Abstract

Correcting dynamic fluctuations in Laser-induced breakdown spectroscopy (LIBS) due to the interaction between a continuously pulsed laser and the sample remains a critical challenge in enhancing LIBS as a high-precision analytical tool. In this study, we developed an in-situ dynamic correction method based on Raman spectroscopy to optimize and correct fluctuation characteristics during the LIBS dynamic ablation process. Initially, a continuous LIBS ablation model of a metallic sample was constructed, revealing that the plasma temperature follows a Gaussian distribution, and the dynamic ablation mechanism of sample under continuous laser pulses was analyzed. Next, by integrating Raman spectroscopy with deep learning modeling, an in-situ online feedback correction system was designed to iteratively correct LIBS plasma temperature. Finally, using a deep convolutional neural network (CNN) architecture and feature-level data fusion, the Accuracy, Precision, Recall, and F1-Score of the classification model on the corrected dataset were significantly improved to over 99.3 %, compared to values below 82 % before correction. This notable improvement verifies the effectiveness of the dynamic correction method, which provides strong support for advancing LIBS technology toward mature and practical applications.

Authors

  • Yao Li
    Center of Robotics and Intelligent Machine, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, No. 266 Fangzhen Road, Beibei District, Chongqing, 400714, China.
  • Leiyi Ding
    Key Laboratory of High Performance Manufacturing for Aero Engine (MIIT), Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi'an, Shaanxi 710072 China.
  • Yinghao Wang
    College of Computer Science and Software Engineering, Shenzhen University, Nanhai Ave 3688, Shenzhen, Guangdong 518060, P. R. China.
  • Mengjie Shan
    Department of Plastic Surgery, Peking Union Medical College Hospital, Beijing, China.
  • Jiajun Cong
    Changchun University of Technology, Changchun, Jilin 130012, China.
  • Jingjun Lin
    Changchun University of Technology, Changchun, 130012, Jilin, China.
  • Minchao Cui
    Key Laboratory of High Performance Manufacturing for Aero Engine (MIIT), Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi'an, Shaanxi 710072 China; Xiangyang Xiaoman Laser Science & Technology Co., Ltd., Hubei 441000, China. Electronic address: cuiminchao@nwpu.edu.cn.

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