矿浆固相浓度、粒度对LIBS测量信号的影响规律及表征方法研究

doi:10.3964/j.issn.1000-0593(2025)05-1334-07

摘要
参考文献
相关文章 (15)

全文: PDF (9397 KB)
输出: BibTeX | EndNote (RIS)

摘要：激光诱导击穿光谱技术可以直接对矿浆进行在线分析，但由于矿浆基质成分十分复杂，固体颗粒浓度和粒度的变化都会对光谱信号产生影响，使得光谱信号与矿物化学成分之间的关系复杂难以表征。因此，研究矿浆固相浓度、粒度对光谱信号的影响机制十分重要。为此，使用多种粒度的SiO₂粉末与不同质量的水进行配比，得到不同固相浓度、粒度的模拟矿浆样本，并进行LIBS光谱信号采集与数据分析，系统的研究了矿浆固相浓度、粒度对固相和液相中包含元素的特征谱线强度的影响。首先，使用皮尔森相关系数量化评估固相浓度、粒度对LIBS光谱信号的影响。结果显示：在同一固相粒度下，固相浓度与全谱和值及各元素的特征谱线强度之间的相关系数大多高于0.9，说明整体光谱强度随固相浓度的升高而增强；在同一固相浓度下，固相粒度主成分与硅元素特征谱线强度之间的相关系数在0.99左右，说明固相颗粒中元素特征谱线随固相颗粒的增大而减弱。进一步建立了矿浆固相浓度、粒度同步变化时光谱强度与固相浓度、粒度的关系模型，通过模型的拟合优度（R²）来分析固相浓度、粒度对LIBS光谱的影响。结果显示：只有硅元素特征谱线强度的固相粒度表征模型的拟合优度可以达到0.9以上，说明单一的固相浓度或粒度无法完全准确地反映样本中各元素特征谱线强度的变化情况；固相浓度、粒度共同表征光谱强度的模型，各元素特征谱线的拟合优度均超过0.9，说明固相浓度和粒度对各元素特征谱线强度的影响是耦合存在的，需要融合多源信息进行综合表征。这些结果为进一步研究基于多源信息融合的LIBS光谱稳定性与定量分析准确性的提升，提供了系统的分析基础。

关键词：激光诱导击穿光谱；矿浆；在线分析；固相浓度；固相粒度

Abstract：Laser-Induced Breakdown Spectroscopy (LIBS) technology can directly analyze online slurry. However, due to the complex matrix composition of slurry, variations in solid particle concentration and particle size can affect the spectral signal, making the relationship between the spectral signal and mineral chemical composition difficult to characterize. Therefore, studying how slurry solid phase concentration and particle size influence the spectral signal is crucial. In this study, SiO₂ powder of various particle sizes was mixed with different amounts of water to create simulated slurry samples with varying solid-phase concentrations and particle sizes. LIBS spectral signal acquisition and data analysis were conducted to systematically investigate the impact of solid-phase concentration and particle size on the intensity of characteristic spectral lines of elements in both the solid and liquid phases. Firstly, the Pearson coefficient was used to quantitatively evaluate the impact of solid-phase concentration and particle size on the LIBS spectral signal. The results showed that, under the same particle size, the correlation coefficient between solid-phase concentration and the full spectrum value and the intensity of characteristic spectral lines of various elements was mostly above 0.9, indicating that overall spectral intensity increases with the solid-phase concentration. Under the same solid-phase concentration, the correlation coefficient between the principal components of particle size and the intensity of silicon element characteristic spectral lines was around 0.99, indicating that the characteristic spectral lines of elements in solid particles weaken as the particle size increases. Furthermore, a model was established to describe the relationship between spectral intensity solid-phase concentration and particle size when both parameters change simultaneously. The model's goodness of fit (R²) was used to analyze the impact of solid-phase concentration and particle size on the LIBS spectrum. The results indicated that only the solid-phase particle size representation model for silicon element characteristic spectral line intensity achieved goodness of fit above 0.9, suggesting that neither solid-phase concentration nor particle size alone can fully and accurately reflect changes in the intensity of characteristic spectral lines of elements in the samples. The model that simultaneously characterizes spectral intensity based on both solid-phase concentration and particle size achieved a goodness of fit exceeding 0.9 for the characteristic spectral lines of all elements, indicating that the influence of solid-phase concentration and particle size on the intensity of characteristic spectral lines is coupled and requires comprehensive characterization through multi-source information integration. These findings provide a systematic analytical foundation for further research on enhancing the stability and accuracy of quantitative LIBS analysis based on multi-source information fusion.

Key words：Laser-induced breakdown spectroscopy (LIBS); Slurry; Online analysis; Solid phase concentration; Solid phase particle size

收稿日期: 2024-06-20 修订日期: 2024-09-13

中图分类号:

O657.31

基金资助: 国家自然科学基金项目（62173321），辽宁辽河实验室自主科研项目（LLL23ZZ-05-02）资助

通讯作者: 张鹏，孙兰香 E-mail: zhangpeng@sia.cn；sunlanxiang@sia.cn

作者简介: 于桐，1999年生，沈阳工业大学人工智能学院硕士研究生 e-mail: yutong@sia.cn

引用本文:

于桐，于洪霞，张鹏，孙兰香，陈彤. 矿浆固相浓度、粒度对LIBS测量信号的影响规律及表征方法研究[J]. 光谱学与光谱分析, 2025, 45(05): 1334-1340.
YU Tong, YU Hong-xia, ZHANG Peng, SUN Lan-xiang, CHEN Tong. Study on the Influence of Slurry Solid Concentration and Particle Size on LIBS Measurement Signals and Characterization Methods. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2025, 45(05): 1334-1340.

链接本文:

https://www.gpxygpfx.com/CN/10.3964/j.issn.1000-0593(2025)05-1334-07 或 https://www.gpxygpfx.com/CN/Y2025/V45/I05/1334

[1] Song W R, Hou Z Y, Gu W L, et al. Fuel, 2021, 306: 121667.
[2] HOU Zong-yu, SONG Wei-ran, SONG Yu-zhou, et al(侯宗余，宋惟然，宋玉洲，等). Coal Quality Technology(煤质技术), 2023, 38(1): 1.
[3] Bai X, Hai R, He Z L, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2023, 206: 106724.
[4] Dong M R, Cai J B, Liu H C, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2023, 210: 106807.
[5] Cai J B, Dong M R, Zhang Y S, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2021, 180: 106195.
[6] Zhang P, Sun L X, Qi L F, et al. Measurement, 2024, 234: 114827.
[7] Chen T, Sun L X, Yu H B, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2023, 210: 106821.
[8] Dong H Y, Sun L X, Qi L F, et al. Journal of Analytical Atomic Spectrometry, 2021, 36(11): 2528.
[9] Chen T, Sun L X, Yu H B, et al. Analyst, 2024, 149(17): 4407.
[10] Rifaia K, Özcan L, Doucet F, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2020, 163: 105735.
[11] Cui M C, Deguchi Y, Yao C F, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2020, 167: 105839.
[12] Zhang P, Sun L X, Yu H B, et al. Analytical Chemistry, 2018, 90(7): 4686.
[13] Jia Z W, Tian Y, Pan H P, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2023, 209: 106793.
[14] Lu G H, Sun L X, Cong Z B, et al. Talanta, 2024, 270: 125531.
[15] Van Bommel S J, Gellert R, Berger J A, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2022, 191: 106410.
[16] Chen F Y, Sun C, Qu S Y, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2024, 214: 106887.
[17] Rao Y F, Sun C, Yu X W, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2024, 213: 106881.
[18] Eseller K E, Tripathi M M, Yueh F Y, et al. Applied Optics, 2010, 49(13): C21.
[19] Michaud D, Proulx E, Chartrand J G, et al. Applied Optics, 2003, 42(30): 6179.
[20] Guo L B, Cheng X T, Yun T, et al. Spectrochimica Acta Part B: Atomic Spectroscopy, 2019, 152: 38.
[21] GONG Ting-ting, TIAN Ye, CHEN Qian, et al(龚停停，田野，陈倩，等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2020, 40(4): 1207.
[22] BAI Kai-jie, YAO Shun-chun, LU Ji-dong, et al(白凯杰，姚顺春，陆继东，等). Acta Optica Sinica(光学学报), 2016, 36(12): 1214005.