Improvement in the analytical performance of underwater LIBS signals by exploiting the plasma image information,Journal of Analytical Atomic Spectrometry

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Improvement in the analytical performance of underwater LIBS signals by exploiting the plasma image information
Journal of Analytical Atomic Spectrometry ( IF 3.1 ) Pub Date : 2020/01/06 , DOI: 10.1039/c9ja00367c
Qingyang Li _{1,

2,

3,

4} , Ye Tian _{1,

2,

3,

4} , Boyang Xue _{1,

2,

3,

4} , Nan Li _{1,

2,

3,

4} , Wangquan Ye _{1,

2,

3,

4} , Yuan Lu _{1,

2,

3,

4} , Ronger Zheng _{1,

2,

3,

4}

Affiliation

Laser-induced plasma in water always suffers from strong pulse-to-pulse fluctuations due to the multiple breakdown phenomenon, leading to a poor stability of underwater LIBS signals. The traditional normalization method by using the internal standard element is often limited in some practical cases due to the lack of a suitable element as a reference. In this work, we developed an effective normalization method by using the plasma image information for underwater LIBS analysis. Correlations between the plasma images and LIBS spectra were firstly studied, showing a good linear relationship between the spectral line intensity and plasma image intensity. Subsequently, the spectral line intensities were standardized by using the corresponding image intensities and then used for quantitative analysis. A good normalization model was established by using partial least squares regression (PLSR). With the proposed method, the average relative standard deviations (RSDs) of validation samples were significantly reduced from 10.71% to 5.76%, and the average relative errors (AREs) of the validation samples were also reduced from 7.80% to 7.55%. Moreover, by combining the proposed method with the internal standard method, the average RSD and ARE can be further reduced to 4.07% and 4.86%, respectively, both of which are better than those obtained using the internal standard method only.

中文翻译：

通过利用等离子体图像信息改善水下LIBS信号的分析性能

由于多重击穿现象，水中的激光诱导等离子体始终遭受强烈的脉冲间波动，从而导致水下LIBS信号的稳定性较差。在某些实际情况下，由于缺乏合适的元素作为参考，使用内标元素的传统归一化方法通常受到限制。在这项工作中，我们通过使用等离子体图像信息进行水下LIBS分析开发了一种有效的归一化方法。首先研究了等离子体图像与LIBS光谱之间的相关性，表明光谱线强度与等离子体图像强度之间具有良好的线性关系。随后，通过使用相应的图像强度对光谱线强度进行标准化，然后用于定量分析。通过使用偏最小二乘回归（PLSR）建立了良好的标准化模型。利用所提出的方法，验证样品的平均相对标准偏差（RSD）从10.71％显着降低到5.76％，并且验证样品的平均相对误差（ARE）也从7.80％降低到7.55％。此外，通过将所提出的方法与内标方法相结合，可以将平均RSD和ARE分别降低至4.07％和4.86％，这两者均比仅使用内标方法获得的结果要好。验证样品的平均相对误差（ARE）也从7.80％降低到7.55％。此外，通过将所提出的方法与内标方法相结合，可以将平均RSD和ARE分别降低至4.07％和4.86％，这两者均比仅使用内标方法获得的结果要好。验证样品的平均相对误差（ARE）也从7.80％降低到7.55％。此外，通过将所提出的方法与内标方法相结合，可以将平均RSD和ARE分别降低至4.07％和4.86％，这两者均比仅使用内标方法获得的结果要好。

更新日期：2020-02-13

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