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Chen T, Sun L, Yu H, Qi L, Zhang P, Dong H. Application of S-transform-based nonlinear processing for accurate LIBS quantitative analysis of iron ore slurry. Analyst 2024; 149:4407-4417. [PMID: 39007908 DOI: 10.1039/d4an00631c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Real-time Fe content monitoring in iron ore slurry is crucial for evaluating concentrate quality and enhancing mineral processing efficiency. Laser-induced breakdown spectroscopy (LIBS) is a promising technique for the online monitoring of elemental content at industrial sites. However, LIBS measurements are hampered by the matrix effect and the self-absorption effect, limiting the precision of linear analytical processes. To overcome this, we propose to introduce a nonlinear processing unit based on the S-transform to incorporate nonlinearity into the data analysis process. This approach integrates a feature selection unit based on the spectral distance variable selection method (SDVS), a nonlinear processing unit based on the S-transform (ST), and a partial least squares regression model (PLS). To demonstrate the improvement in accuracy achieved through nonlinear processing, a comparative analysis involving five models, Raw-PLS, SDVS-PLS, ST-PLS, SDVS-ANN, and SDVS-ST-PLS, is conducted. The results reveal a significant improvement in the performance of the SDVS-ST-PLS model, effectively facilitating the successful application of the LIBSlurry analyzer to the mineral flotation process.
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Affiliation(s)
- Tong Chen
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
- University of Chinese Academy of Sciences, Beijing 100049, China
- Liaoning Liaohe Laboratory, Shenyang 110169, China
| | - Lanxiang Sun
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
- University of Chinese Academy of Sciences, Beijing 100049, China
- Liaoning Liaohe Laboratory, Shenyang 110169, China
| | - Haibin Yu
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
- University of Chinese Academy of Sciences, Beijing 100049, China
- Liaoning Liaohe Laboratory, Shenyang 110169, China
| | - Lifeng Qi
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
- Liaoning Liaohe Laboratory, Shenyang 110169, China
| | - Peng Zhang
- State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
- Liaoning Liaohe Laboratory, Shenyang 110169, China
| | - Haiyan Dong
- Beijing Remote Sensing Equipment Research Institute, Beijing 100071, China
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Wang W, Sun L, Zhang P, Qi L, Zheng L, Dong W. Microanalysis of molybdenum-copper stainless steel samples by picosecond laser-induced breakdown spectroscopy. Microchem J 2020. [DOI: 10.1016/j.microc.2020.105267] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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