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A method for improving the accuracy of calibration-free laser-induced breakdown spectroscopy by exploiting self-absorption
Analytica Chimica Acta ( IF 6.2 ) Pub Date : 2021-09-01 , DOI: 10.1016/j.aca.2021.339008
Zhenlin Hu 1 , Feng Chen 1 , Deng Zhang 1 , Yanwu Chu 1 , Weiliang Wang 1 , Yun Tang 2 , Lianbo Guo 1
Affiliation  

The existence of the self-absorption effect results in a nonlinear relationship between spectral intensity and elemental concentration, which dramatically affect the quantitative accuracy of laser-induced breakdown spectroscopy (LIBS), especially calibration-free LIBS (CF-LIBS). In this work, the CF-LIBS with columnar density and standard reference line (CF-LIBS with CD-SRL) was proposed to improve the quantitative accuracy of CF-LIBS analysis by exploiting self-absorption. Our method allows using self-absorbed lines to perform the calibration-free approach directly and does not require self-absorption correction algorithms. To verify this method, the experiment was conducted both on aluminium-bronze and aluminium alloy samples. Compared with classical CF-LIBS, the average errors (AEs) of CF-LIBS with CD-SRL were decreased from 3.20%, 3.22%, 3.15% and 3.01%–0.95%, 1.00%, 1.16% and 1.78%, respectively for four aluminium-bronze alloy samples. The AEs were decreased from 0.66%, 0.70%, 0.89% and 1.30%–0.43%, 0.61%, 0.77% and 0.33%, respectively for four aluminium alloy samples. The experimental results demonstrated that CF-LIBS with CD-SRL provided higher quantitative accuracy and stronger adaptability than classical CF-LIBS, which is quite helpful for the practical application of CF-LIBS.



中文翻译:

一种利用自吸收提高免校准激光诱导击穿光谱精度的方法

自吸收效应的存在导致光谱强度与元素浓度之间的非线性关系,这极大地影响了激光诱导击穿光谱(LIBS),尤其是免校准LIBS(CF-LIBS)的定量精度。在这项工作中,提出了具有柱状密度和标准参考线的 CF-LIBS(带有 CD-SRL 的 CF-LIBS),以通过利用自吸收来提高 CF-LIBS 分析的定量准确性。我们的方法允许使用自吸收线直接执行免校准方法,并且不需要自吸收校正算法。为了验证该方法,对铝青铜和铝合金样品进行了实验。与经典 CF-LIBS 相比,CF-LIBS 与 CD-SRL 的平均误差(AEs)分别从 3.20%、3.22%、3 降低。四种铝青铜合金样品分别为 15% 和 3.01%–0.95%、1.00%、1.16% 和 1.78%。四种铝合金样品的 AE 分别从 0.66%、0.70%、0.89% 和 1.30%–0.43%、0.61%、0.77% 和 0.33% 降低。实验结果表明,与经典的CF-LIBS相比,带有CD-SRL的CF-LIBS提供了更高的定量精度和更强的适应性,这对CF-LIBS的实际应用非常有帮助。

更新日期:2021-09-04
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