Optoelectronics Letters, Volume. 16, Issue 2, 143(2020)

Plasma characteristics and quantitative analysis of Pb and Ni in soil based on LIBS technology

Hong-lian LI1...2,*, Hong-bao WANG1,2, Yi-chen HUANG3, Sha-sha KANG1,2, Shi-jie FU4, Hao-ran LI1, Li-de FANG1,2, and Xiao-ting LI12 |Show fewer author(s)
Author Affiliations
  • 1College of Quality and Technology Supervising, Hebei University, Baoding 071000, China
  • 2National and Local Joint Engineering Center of Measuring Instruments and Metrology Systems, Baoding 071000, China
  • 3College of Chemistry and Environmental Science, Hebei University, Baoding 071000, China
  • 4College of Optical Sciences, University of Arizona, Tucson 85721, America
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    When measured by laser induced breakdown spectroscopy, the characteristic parameters of the plasma fluctuate significantly with the experimental parameters, which would have a greater impact on the quantitative measurement. The effects of two experimental parameters, lens to sample distance (LTSD) and delay time, on plasma temperature and electron density were analyzed. Thereafter the optimal LTSD and delay time for quantitative analysis of Pb and Ni in soil were identified. Two element calibration curves were calculated by the internal standard method under the optimal LTSD and delay time. About the two elements, correlation coefficient of the calibration curves is above 0.993. The maximum relative standard deviation (RSD) were 4.47% and 4.76%, respectively, and the maximum relative errors were 12% and 4.8%, respectively. The experimental results showed that laser induced breakdown spectroscopy method in combination with plasma characteristic parameter analysis shows the advantage on quantitative analysis of heavy metals in soil.

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    LI Hong-lian, WANG Hong-bao, HUANG Yi-chen, KANG Sha-sha, FU Shi-jie, LI Hao-ran, FANG Li-de, LI Xiao-ting. Plasma characteristics and quantitative analysis of Pb and Ni in soil based on LIBS technology[J]. Optoelectronics Letters, 2020, 16(2): 143

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    Paper Information

    Received: Nov. 8, 2019

    Accepted: Dec. 27, 2019

    Published Online: Dec. 25, 2020

    The Author Email: Hong-lian LI (lihonglian@hbu.edu.cn)

    DOI:10.1007/s11801-020-9189-8

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