Literature DB >> 27137227

Determinations of trace boron in superalloys and steels using laser-induced breakdown spectroscopy assisted with laser-induced fluorescence.

Changmao Li, Zhongqi Hao, Zhimin Zou, Ran Zhou, Jiaming Li, Lianbo Guo, Xiangyou Li, Yongfeng Lu, Xiaoyan Zeng.   

Abstract

Boron (B) is widely applied in microalloying of metals. As a typical light element, however, determination of boron in alloys with complex matrix spectra is still a challenge for laser-induced breakdown spectroscopy (LIBS) due to its weak line intensities in the UV-visible-NIR range and strong spectral interference from the matrix spectra. In this study, a wavelength-tunable laser was used to enhance the intensities of boron lines selectively. The intensities of B I 208.96 nm from boron plasmas were enhanced approximately 3 and 5.8 times while the wavelength-tunable laser was tuned to 249.68 and 249.77 nm, respectively. Utilizing the selective enhancement effect, accurate determinations of trace boron in nickel-based superalloys and steels were achieved by laser-induced breakdown spectroscopy assisted by laser-induced fluorescence (LIBS-LIF), with limits of detection (LoDs) of 0.9 and 0.5 ppm, respectively. The results demonstrated that LIBS-LIF can hopefully be used in boron determinations and has great potential for improving the ability of LIBS to determine light elements in alloys with a complex matrix.

Entities:  

Year:  2016        PMID: 27137227     DOI: 10.1364/OE.24.007850

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  2 in total

1.  Identification of cervical cancer using laser-induced breakdown spectroscopy coupled with principal component analysis and support vector machine.

Authors:  Jing Wang; Liang Li; Ping Yang; Ying Chen; Yining Zhu; Ming Tong; Zhongqi Hao; Xiangyou Li
Journal:  Lasers Med Sci       Date:  2018-06-26       Impact factor: 3.161

2.  Quantitative Analysis of Major Metals in Agricultural Biochar Using Laser-Induced Breakdown Spectroscopy with an Adaboost Artificial Neural Network Algorithm.

Authors:  Hongwei Duan; Lujia Han; Guangqun Huang
Journal:  Molecules       Date:  2019-10-18       Impact factor: 4.411

  2 in total

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