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Analyzing unburned carbon in fly ash using laser-induced breakdown spectroscopy with multivariate calibration method

机译:激光诱导击穿光谱法和多元校正法分析粉煤灰中未燃烧的碳

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摘要

This paper presents an alternate calibration method for measurement of the unburned carbon (UC) in fly ash using laser-induced breakdown spectroscopy (LIBS). Fly ashes studied in this research were produced from pulverized coal in a muffle furnace and the UC was determined by a loss-on-ignition (LOI) test. We apply both univariate calibration and multivariate calibration methods to LIBS data to establish the calibration curve of the UC in measured samples, and the performance of these two approaches was compared. Our analysis shows that traditionally used univariate calibration in LIBS does not qualify quantitative analysis of fly ashes from different kinds of coal due to the presence of matrix effects. Instead, multivariate calibration has a better performance as the matrix effects can be taken into account with the influence of the spectroscopic signals of other components in fly ash. The correlation coefficients R~2 of multivariate calibration reach 0.994 (fly ashes from one kind of coal) and 0.981 (fly ashes from different kinds of coal), which is significantly improved compared with univariate calibration.
机译:本文提出了使用激光诱导击穿光谱法(LIBS)测量粉煤灰中未燃烧碳(UC)的另一种校准方法。本研究中研究的粉煤灰是由马弗炉中的煤粉制成的,并且通过燃烧失重(LOI)测试确定了UC。我们将单变量校准和多元校准方法都应用于LIBS数据,以建立被测样品中UC的校准曲线,并比较了这两种方法的性能。我们的分析表明,由于存在基质效应,LIBS中传统上使用的单变量标定不符合对来自各种煤的飞灰进行定量分析的资格。取而代之的是,多元校正具有更好的性能,因为在粉煤灰中其他成分的光谱信号的影响下可以考虑基质效应。多元校正的相关系数R〜2达到0.994(一种煤的粉煤灰)和0.981(各种煤的粉煤灰),与单变量校正相比有显着提高。

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  • 来源
    《Journal of Analytical Atomic Spectrometry》 |2012年第3期|p.473-478|共6页
  • 作者单位

    Power Electric College in South China University of Technology, Guangzhou, 510640, Guangdong, P.R. China;

    Power Electric College in South China University of Technology, Guangzhou, 510640, Guangdong, P.R. China;

    Power Electric College in South China University of Technology, Guangzhou, 510640, Guangdong, P.R. China;

    Power Electric College in South China University of Technology, Guangzhou, 510640, Guangdong, P.R. China;

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