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arXiv 1106.0583physics.plasm-phphysics.atom-ph
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laser诱导击穿光谱测量的光谱标准化

Spectrum standardization for laser-induced breakdown spectroscopy measurements

Zhe Wang, Lizhi Li, Logan West, Zheng Li, Weidou Ni

摘要:

本文提出了一种用于激光诱导击穿光谱(LIBS)测量的光谱归一化方法,通过将不同条件下记录的特征谱线强度转换为具有标准等离子体温度、电离度和感兴趣物种总数密度的标准条件下的强度,以降低测量不确定度。感兴趣的物种的特征线强度首先被转换为在一个固定的温度和标准的电离度,但不同的总的数密度为每个激光脉冲分析的强度。在此状态下,如果忽略等离子体形态变化的影响,则被测元素的多条谱线强度之和可视为与特定元素的总数密度成正比,并通过应用此关系来补偿总数密度的波动或烧蚀质量的变化。在29个黄铜合金样品的实验中,应用该方法测定铜含量,其测量精度和准确度均比通常采用的归一化法有显著提高。平均RSD值、误差条平均值、R2、RMSEP、最大相对误差平均值分别为:5.29%、0.68%、0.98、2.72%、16.97%,以上参数值用全谱面积归一化为:8.61%、1.37%、0.95%、3.28%、29.19%。

英文摘要:

This paper presents a spectra normalization method for laser-induced breakdown spectroscopy (LIBS) measurements by converting the recorded characteristic line intensity at varying conditions to the intensity under a standard condition with standard plasma temperature, degree of ionization, and total number density of the interested species to reduce the measurement uncertainty. The characteristic line intensities of the interested species are first converted to the intensity at a fixed temperature and standard degree of ionization but varying total number density for each laser pulse analysis. Under this state, if the influence of the variation of plasma morphology is neglected, the sum of multiple spectral line intensities for the measured element can be regarded proportional to the total number density of the specific element, and the fluctuation of the total number density, or the variation of ablation mass, was compensated for by the application of this relationship. In the experiments with 29 brass alloy samples, the application of this method to determine Cu concentration shows a significant improvement over generally applied normalization method for measurement precision and accuracy. The average RSD value, average value of the error bar, R2, RMSEP, and average value of the maximum relative error were: 5.29%, 0.68%, 0.98, 2.72%, 16.97%, respectively, while the above parameter values for normalization with the whole spectrum area were: 8.61%, 1.37%, 0.95, 3.28%, 29.19%, respectively.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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