Chinese Journal of Quantum Electronics, Volume. 41, Issue 3, 514(2024)

Quantitative detection of Cu element in Yellow River water based on LIBS⁃GD combined technology

CHANG Jiawei1、*, WANG Yarui1, MA Xinrong1, Han Weiwei1, Zhang Guoding1, LU Quanfang2, and SUN Duixiong1
Author Affiliations
  • 1College of Phsics and Electronic Engineering, Northwest Normal University, Lanzhou 730070, China
  • 2College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou 730070, China
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    Figures & Tables(7)
    Specific location of sample collection
    Schematic diagram of LIBS-GD combined technology experimental device
    Optimization of discharge voltage of LIBS-GD combined experiment
    Optimization of laser parameters for LIBS-GD combined experiment. (a) H I 656.24 nm emission spectrum intensity change with delay time; (b) H I 656.24 nm emission spectrum intensity change with laser energy
    #3 sample Spectrum (insert: Cu element spectrum of the five samples)
    Calibration curve of Cu I 327.45 nm under internal standard method (insert: copper fitting curve in the concentration range of 0.7-12.5 mg/L)
    • Table 1. Comparison between internal standard method and AAS

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      View in Article

      Table 1. Comparison between internal standard method and AAS

      SampleValue by LIBS-GD/(mg⋅L-1)Value by AAS/(mg⋅L-1)Difference value/(mg⋅L-1)Relative error/%
      #10.340.360.025.6
      #20.290.320.039.4
      #30.330.350.025.7
      #40.270.290.026.9
      #50.380.410.037.3
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    Jiawei CHANG, Yarui WANG, Xinrong MA, Weiwei Han, Guoding Zhang, Quanfang LU, Duixiong SUN. Quantitative detection of Cu element in Yellow River water based on LIBS⁃GD combined technology[J]. Chinese Journal of Quantum Electronics, 2024, 41(3): 514

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    Paper Information

    Category: Special Issue on Key Technologies and Applications of LIBS

    Received: Mar. 20, 2024

    Accepted: --

    Published Online: Jul. 17, 2024

    The Author Email: Jiawei CHANG (Changjw1118@163.com)

    DOI:10.3969/j.issn.1007-5461.2024.03.013

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