• Optics and Precision Engineering
  • Vol. 31, Issue 19, 2827 (2023)
Hongyu HE, Zhixing GAO*, Yun HE, Xiaohua ZHANG, and Bing GUO
Author Affiliations
  • China Institute of Atomic Energy, Beijing 102413, China
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    DOI: 10.37188/OPE.20233119.2827 Cite this Article
    Hongyu HE, Zhixing GAO, Yun HE, Xiaohua ZHANG, Bing GUO. Direct monitoring of strontium in aerosols by laser-induced plasma spectroscopy[J]. Optics and Precision Engineering, 2023, 31(19): 2827 Copy Citation Text show less

    Abstract

    The direct monitoring of strontium in aerosols is crucial for air pollution prevention and the monitoring of emissions from industrial facilities. Laser-induced plasma spectroscopy (LIPS) offers a promising method for the direct and online monitoring of environmental mediums. Specifically, LIPS requires no sample preparation, allows rapid analysis, and facilitates online detection. This study introduces the direct detection of strontium in aerosols using an LIPS setup. The experimental findings confirm that, through ensemble averaging, the limit of detection (LOD) for strontium aerosols is 809 μg/m3. Conditional analysis enhances the signal-to-noise ratio of the average spectrum eight-fold for low-density aerosols. Furthermore, this study delves into the effects of aerosol statistical characteristics and spectral analysis methods on spectral line intensity. Given that the aerosol particle density has minimal impact on plasma temperature and the spectral intensity is influenced by particle density, the scope of conditional analysis is further explored. Hence, it is proposed that the sensitivity of LIPS can be enhanced nearly three-fold by substituting the average spectrum with the cumulative spectrum over a given measurement period. With this adjustment, the LOD of the setup can approach 1.3 μg/m3, fulfilling the requirements of industrial emission monitoring.
    Hongyu HE, Zhixing GAO, Yun HE, Xiaohua ZHANG, Bing GUO. Direct monitoring of strontium in aerosols by laser-induced plasma spectroscopy[J]. Optics and Precision Engineering, 2023, 31(19): 2827
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