Repeatability enhancing method for one-shot LIBS analysis via spectral intensity correction based on probability distribution,Journal of Analytical Atomic Spectrometry

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Repeatability enhancing method for one-shot LIBS analysis via spectral intensity correction based on probability distribution
Journal of Analytical Atomic Spectrometry ( IF 3.1 ) Pub Date : 2021-06-24 , DOI: 10.1039/d1ja00040c
Fu Chang _{1,

2,

3,

4} , Jianhong Yang _{1,

2,

3,

4,

5} , Huili Lu _{2,

4,

6,

7} , Haixia Li _{3,

4,

8,

9}

Affiliation

It is important to improve the repeatability of quantitative analysis of laser-induced breakdown spectroscopy (LIBS) in a one-shot measurement, where averaging is not valid because multiple measurements are not available or allowable. Therefore, a new spectral intensity correction method based on probability distribution is proposed, in which a weighted correction model is built by training samples to obtain the relationship between the averaged spectral intensity of multiple measurements and five typical spectral intensities based on probability distribution. Before being sent to the elemental analysis model, each one-shot spectrum of testing samples is corrected via the weighted correction model. Experiments on the Cr elemental analysis of 7 standard samples and one gradient material sample were conducted. The results show that the relative standard deviation (RSD) of 40 spectra is reduced from 19.10% to 3.95% after correction based on normal distribution, while RSD after correction based on Poisson distribution is reduced to 11.91%. The average relative error (MRE) of the LIBS quantitative analysis results is reduced from 8.68% to 3.32%, while MRE based on Poisson distribution is reduced to 5.98%. The proposed method provides a simple and feasible method to enhance the repeatability of one-shot LIBS quantitative analysis, which will be helpful for expanding the application of LIBS in cases like the elemental analysis of anisotropic materials, archaeological analysis, or the online analysis of samples with rapidly varying compositions.

中文翻译：

基于概率分布的光谱强度校正的一次性LIBS分析重复性增强方法

在一次测量中提高激光诱导击穿光谱 (LIBS) 定量分析的可重复性很重要，因为多次测量不可用或不允许进行平均，因此平均无效。为此，提出了一种基于概率分布的光谱强度校正新方法，通过训练样本建立加权校正模型，基于概率分布得到多次测量的平均光谱强度与五种典型光谱强度之间的关系。在发送到元素分析模型之前，测试样品的每个一次性光谱都通过加权修正模型。对 7 个标准样品和 1 个梯度材料样品进行了 Cr 元素分析实验。结果表明，40幅光谱的相对标准偏差（RSD）在正态分布校正后从19.10%降低到3.95%，而泊松分布校正后RSD降低到11.91%。LIBS定量分析结果的平均相对误差（MRE）从8.68%降低到3.32%，而基于泊松分布的MRE降低到5.98%。该方法为提高一次性LIBS定量分析的重复性提供了一种简单可行的方法，有助于扩大LIBS在各向异性材料元素分析、考古分析、

更新日期：2021-07-07

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