基于纳米粒子增强激光诱导击穿光谱法的水泥生料定量分析。

IF 2.7 3区 化学 Q2 CHEMISTRY, ANALYTICAL Analytical Methods Pub Date : 2024-07-11 DOI:10.1039/d4ay00644e
Yongqi Cai, Xiaoyu Ma, Dianyuan Ju, Xiaohong Wang
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引用次数: 0

摘要

纳米粒子增强激光诱导击穿光谱(NELIBS)技术因其显著的光谱增强和光谱噪声降低而备受关注。更多的 NELIBS 研究集中在纳米粒子对光谱强度的影响和实验优化方面。还没有研究过 NELIBS 对水泥生料成分的检测和定量分析的可重复性。本文研究了 NELIBS 对水泥生料光谱质量和定量分析重复性的影响。比较了不同尺寸和体积的 AuNP 对预消融带来的 LIBS 的影响,并建立了定量分析模型。结果表明,预消融后 NELIBS 图谱的信噪比(SNR)从 2.72 提高到 7.81,水泥生料中 CaO、SiO2、Al2O3 和 Fe2O3 的相对标准偏差(RSD)分别降低了 47%、30%、31% 和 33%。综上所述,本文对 AuNPs 与 LIBS 在水泥生料成分定量分析中的应用进行了全面的探讨和比较,为水泥生料的定量分析提供了一种新的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Quantitative analysis of cement raw materials based on nanoparticle-enhanced laser-induced breakdown spectroscopy.

The nanoparticle-enhanced laser-induced breakdown spectroscopy (NELIBS) technique has attracted much attention because of its significant spectral enhancement as well as the reduction of spectral noise. More NELIBS studies have focused on the effect of nanoparticles on spectral intensity and the optimization of experiments. NELIBS has not been studied for the detection of cement raw material components and the repeatability of quantitative analysis. In this paper, the effect of NELIBS on the spectral quality as well as the repeatability of the quantitative analysis of cement raw materials is investigated. The effects of different AuNP sizes and volumes on LIBS brought about by pre-ablation were compared and modeled for quantitative analysis. The results showed that the signal-to-noise ratio (SNR) of NELIBS spectra after pre-ablation was improved from 2.72 to 7.81, and the relative standard deviations (RSDs) of CaO, SiO2, Al2O3, and Fe2O3 in cement raw materials were reduced by 47%, 30%, 31%, and 33%, respectively. In summary, this paper provides a comprehensive discussion and comparison of AuNPs versus LIBS for quantitative analysis of cement raw material components, and also provides a new solution for quantitative analysis of cement raw materials.

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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
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