Chinese Journal of Lasers, Volume. 46, Issue 7, 0711002(2019)

Detection of Metallic Elements in Lubricating Oil by Substrate-Assisted Laser-Induced Breakdown Spectroscopy

Peichao Zheng*, Guining Tan, Jinmei Wang*, Huaidong Zhao, and Ranning Liu
Author Affiliations
  • Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, College of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
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    Figures & Tables(15)
    Schematic of LIBS experimental setup
    Schematic of sample pretreatment procedure
    Spectrum of Aluminum substrate with purity of 99.99%
    Spectra in different wavelength ranges of 300 μg·g-1 standard oil and base oil. (a) 275-286 nm; (b) 330-338 nm; (c) 349-362 nm; (d) 424-430 nm
    Spectra of Mg II 279.55 nm in different resting time. (a) 3 min; (b) 10 min
    Spectral intensity and SBR of Mg II 279.55 nm as function of sampling volume
    Spectral intensity and SBR as function of ICCD delay. (a) Mg II 279.55 nm; (b) Ti I 334.94 nm;(c) Ni I 352.45 nm; (d) Cr I 425.44 nm
    Spectral intensity and SBR as function of laser energy. (a) Mg II 279.55 nm; (b) Ti I 334.94 nm;(c) Ni I 352.45 nm; (d) Cr I 425.44 nm
    Calibration curves. (a) Mg II 279.55 nm; (b) Ti I 334.94 nm; (c) Ni I 352.45 nm; (d) Cr I 425.44 nm
    • Table 1. Optimum spectral lines of Mg, Ti, Ni, and Cr for quantitative analysis

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      Table 1. Optimum spectral lines of Mg, Ti, Ni, and Cr for quantitative analysis

      ElementWavelength /nmTransitionprobability /(108 s-1)Ei /cm-1Ek /cm-1
      Mg279.552.600.0035760.88
      Ti334.941.68393.4530240.94
      Ni352.451.00204.7928569.20
      Cr425.440.3150.0023498.82
    • Table 2. RSD of Mg II 279.55 nm spectral signal intensity in different resting time

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      Table 2. RSD of Mg II 279.55 nm spectral signal intensity in different resting time

      Time /min310152030
      RSD /%17.610.49.710.810.3
    • Table 3. Average thicknesses of oil film in different sampling volumes

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      Table 3. Average thicknesses of oil film in different sampling volumes

      Volumes /μL100200300400500600
      Thickness /μm21.943.965.887.8109.7131.6
    • Table 4. Parameters of calibration curves and standard deviation of background signals

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      Table 4. Parameters of calibration curves and standard deviation of background signals

      ElementssaR2Standard deviation σ
      Mg8.70×1022.37×1040.9789.00×102
      Ti2.23×102-4.81×1030.9846.47×102
      Ni1.55×102-2.03×1030.9799.73×102
      Cr5.42×1023.30×1030.9701.10×103
    • Table 5. LOD of Mg, Ti, Ni, and Cr elements μg·g-1

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      Table 5. LOD of Mg, Ti, Ni, and Cr elements μg·g-1

      ElementsMgTiNiCr
      LOD3.108.1718.796.10
    • Table 6. Mass ratio and relative error of Mg, Ti, Ni, and Cr in predicted oil samples

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      Table 6. Mass ratio and relative error of Mg, Ti, Ni, and Cr in predicted oil samples

      Sample mass ratio /(μg·g-1)Predicted mass ratio /(μg·g-1)Relative error /%
      MgTiNiCrMgTiNiCr
      5044.1657.9466.0940.46-11.6815.8832.18-19.08
      150163.82131.13177.90172.909.21-12.5818.6015.27
      250261.49265.46269.30229.254.606.187.72-8.30
      350327.00367.95330.69368.43-6.575.13-5.525.27
      450472.99428.57430.69431.565.11-4.76-4.29-4.10
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    Peichao Zheng, Guining Tan, Jinmei Wang, Huaidong Zhao, Ranning Liu. Detection of Metallic Elements in Lubricating Oil by Substrate-Assisted Laser-Induced Breakdown Spectroscopy[J]. Chinese Journal of Lasers, 2019, 46(7): 0711002

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    Paper Information

    Category: spectroscopy

    Received: Mar. 4, 2019

    Accepted: Mar. 28, 2019

    Published Online: Jul. 11, 2019

    The Author Email: Zheng Peichao (wangjm@cqupt.edu.cn), Wang Jinmei (wangjm@cqupt.edu.cn)

    DOI:10.3788/CJL201946.0711002

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