一种利用LIBS进行煤分析的物理修饰和光谱图像融合二维方法

IF 3.3 2区 化学 Q2 CHEMISTRY, ANALYTICAL
Wei Guo, Xuechen Niu, Feiyu Guan, Qiangwei Hu, Zixuan Li, Yongtai Zhuang and Lianbo Guo
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引用次数: 0

摘要

煤的元素分析对优化燃烧和减少污染至关重要。激光诱导击穿光谱(LIBS)由于具有样品预处理时间短、破坏性小、可在线检测等优点,是一种迅速发展起来的煤炭测量技术。然而,在煤的LIBS分析中,等离子体温度与图像之间存在严重的非线性响应,这是导致基体效应和定量精度有限的原因之一。为了提高分析精度,提出了一种基于LIBS的物理修饰-光谱-图像二维融合等离子体温度校正方法(PTPI-LIBS)。该方法使等离子体状态均匀化,保证了等离子体与图像的真实匹配。它进一步使用等离子体图像亮度来表征温度,并在不同等离子体之间实现校正参数的一致性。从而有效地建立了不同等离子体间的可靠响应,消除了基体效应对元素定量的影响。为了验证PTPI-LIBS的可行性,对煤进行了元素分析。经PTPI-LIBS校正后,C、N、H元素的校准曲线R2均提高至0.993以上,平均RMSE降低80%。实验结果表明,PTPI-LIBS能有效消除基体效应对煤中LIBS元素检测的影响,提高分析精度。综上所述,PTPI-LIBS为LIBS在能源行业的应用提供了一种潜在的途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A physical modification and spectrum-image fusion dual-dimensional method for coal analysis using LIBS

A physical modification and spectrum-image fusion dual-dimensional method for coal analysis using LIBS

Elemental analysis of coal is essential for combustion optimization and pollution reduction. Laser-induced breakdown spectroscopy (LIBS) is a rapidly rising coal measurement technique, because of its advantages such as limited sample pretreatment, minimally destructive nature and online capabilities. However, the severe nonlinear response between plasma temperature and image occurs in coal LIBS analysis, which is one of the causes of matrix effects and limited quantitative accuracy. To improve the analysis accuracy, a novel calibration method named plasma temperature correction method of physical modification and spectrum-image dual-dimensional fusion based on LIBS (PTPI-LIBS) was proposed. This method homogenizes the plasma state and ensures a realistic match between the plasma and its image. It further uses plasma image brightness to characterize the temperature and to achieve consistency in correction parameters across different plasmas. As a result, it effectively establishes a reliable response among different plasmas, which eliminates the influence of matrix effects on elemental quantification. To verify the feasibility of PTPI-LIBS, element analysis of coal was carried out. After correction by PTPI-LIBS, the R2 of the calibration curves for C, N, and H elements all improved to above 0.993, and the average RMSE decreased by 80%. These experimental results demonstrate that PTPI-LIBS can effectively eliminate the influence of matrix effects on coal LIBS elemental detection and improve analysis accuracy. In summary, PTPI-LIBS presents a potential approach for the application of LIBS in the energy industry.

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来源期刊
CiteScore
6.20
自引率
26.50%
发文量
228
审稿时长
1.7 months
期刊介绍: Innovative research on the fundamental theory and application of spectrometric techniques.
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