Analysis of plutonium oxide surrogate residue using laser-induced breakdown spectroscopy

Zheng, Hongbo; Yueh, Fang‐Yu; Miller, Tracy S.; Singh, Jagdish P.; Zeigler, Kristine E.; Marra, James C.

doi:10.1016/j.sab.2008.06.005

Cited by 34 publications

(16 citation statements)

References 18 publications

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“…4. Univariate calibration with a different approach used by Zheng et al [28] was also applied. This method is based on calibration using an internal reference.…”

Section: Univariate Calibrationmentioning

confidence: 99%

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Multivariate calibration of spectra obtained by Laser Induced Breakdown Spectroscopy of plutonium oxide surrogate residues

Tripathi

Eseller

Yueh

et al. 2009

Spectrochimica Acta Part B: Atomic Spectroscopy

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“…4. Univariate calibration with a different approach used by Zheng et al [28] was also applied. This method is based on calibration using an internal reference.…”

Section: Univariate Calibrationmentioning

confidence: 99%

“…However, they used traditional data analysis for analyzing LIBS spectra. In our previous work [28], we presented a comparative study of quantitative analysis of glass batch composition in both powder and pellet forms. It was shown that pellets give better results for quantifying glass batch composition.…”

Section: Introductionmentioning

confidence: 99%

Multivariate calibration of spectra obtained by Laser Induced Breakdown Spectroscopy of plutonium oxide surrogate residues

Tripathi

Eseller

Yueh

et al. 2009

Spectrochimica Acta Part B: Atomic Spectroscopy

Self Cite

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“…This clearly tells us that this calibration method cannot be used for the prediction of the elemental concentrations within the plastic samples. Univariate calibration with a different approach used by Zheng et al (2008) was applied. In this method, an internal reference is used for calibration.…”

Section: Libs Analysis and Discussionmentioning

confidence: 99%

Analysis of Calibration Materials to Improve Dual-energy CT Scanning for Petrophysical Applications

Ayyalasomayagula

McIntyre

Jain

et al. 2011

SPE Annual Technical Conference and Exhibition

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Dual energy CT-scanning is a rapidly emerging imaging technique employed in non-destructive evaluation of various materials. Although CT (Computerized Tomography) has been used for characterizing rocks and visualizing and quantifying multiphase flow through rocks for over 25 years, most of the scanning is done at a voltage setting above 100 kV for taking advantage of the Compton scattering (CS) effect, which responds to density changes. Below 100 kV the photoelectric effect (PE) is dominant which responds to the effective atomic numbers (Z eff ), which is directly related to the photo electric factor. Using the combination of the two effects helps in better characterization of reservoir rocks. The most common technique for dual energy CT-scanning relies on homogeneous calibration standards to produce the most accurate decoupled data. However, the use of calibration standards with impurities increases the probability of error in the reconstructed data and results in poor rock characterization. This work combines ICP-OES (inductively coupled plasma optical emission spectroscopy) and LIBS (laser induced breakdown spectroscopy) analytical techniques to quantify the type and level of impurities in a set of commercially purchased calibration standards used in dual-energy scanning. The Z eff data on the calibration standards with and without impurity data were calculated using the weighted linear combination of the various elements present and used in calculating Z eff using the dual energy technique. Results show 2 to 5% difference in predicted Z eff values which may affect the corresponding log calibrations. The effect that these techniques have on improving material identification data is discussed and analyzed. The workflow developed in this paper will translate to a more accurate material identification estimates for unknown samples and improve calibration of well logging tools.

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“…Abundant Ca emission lines were observed, including Ca I emission lines at 422.5,429.8,445.4,526.4,558.8,615.6,645.1,714.8,and 720.2 nm;Ca II emission lines at 315.7,317.7,373.5,393.0,396.5,732.3,854.2,and 866.2 nm; and Ca III emission lines at 642.5 and 648.3 nm (Ahmed, Umar, Ahmed, & Baig, 2017;Juvé, Portelli, Boueri, Baudelet, & Yu, 2008;Velioglu, Sezer, Bilge, Baytur, & Boyaci, 2018;Yaroshchyk, Morrison, Body, & Chadwick, 2005). Several signals at 279.3 and 280.0 nm were attributed to Mg II emission lines and those at 382.9 and 383.5 nm represented Mg I emission lines (Abdel-Salam, Al Sharnoubi, & Harith, 2013;Li, Liu, Chen, & Li, 2008;Mansoori et al, 2011;Rai, Zhang, Yueh, Singh, & Weisberg, 2001;Yaroshchyk et al, 2005;Zheng et al, 2008). An Al I emission line was observed at 309.2 nm (Mansoori et al, 2011;Yaroshchyk et al, 2005).…”

Section: Features Of Libs Soil Spectramentioning

confidence: 95%

Optimization of measuring procedure of farmland soils using laser‐induced breakdown spectroscopy

et al. 2020

Soil Science Soc of Amer J

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Laser‐induced breakdown spectroscopy (LIBS) is an emerging multi‐elemental analytical technique offering fast and simultaneous quantification of soil properties with minimal sample preparation and effective cost. Due to soil heterogeneity, spectral variation however limits the quantitative robustness. In this study, 348 soil samples were collected and prepared for acquisition of LIBS spectra. Influences of shot layer and number on LIBS quality were evaluated by spectral intensity and relative standard deviation (RSD). Effects of shot layer and number and five normalization procedures on LIBS ability to measure soil organic matter (SOM), total nitrogen (TN), and total soluble salt content (TSC), were evaluated using partial least squares regression (PLSR). Increasing shot number reduced LIBS spectral variance, thereby improving the quantitative accuracy of selected soil properties. Deep shot layers (4th or 5th shot layers) reduced the intensities of soil spectra and thereby decreased the quantitative accuracy for TSC. However, deep shot layers improved the SOM and TN prediction performances. Among the normalization approaches, the method based on the correction of Si line (DS) showed superior performance for improving quantitation of SOM and TN. The arithmetic average method (AA) was best for TSC prediction. Optimization of shot layer, number and normalization procedures of LIBS spectra resulted in fair prediction of SOM (residual prediction deviation of validation set, RPDV = 1.608), good prediction of TN (RPDV = 1.836), and very good quantitative analysis of TSC (RPDV = 2.456). Therefore, our findings illustrate very good potential for improving the quantitative accuracy of the LIBS soil spectra.

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Analysis of plutonium oxide surrogate residue using laser-induced breakdown spectroscopy

Cited by 34 publications

References 18 publications

Multivariate calibration of spectra obtained by Laser Induced Breakdown Spectroscopy of plutonium oxide surrogate residues

Multivariate calibration of spectra obtained by Laser Induced Breakdown Spectroscopy of plutonium oxide surrogate residues

Analysis of Calibration Materials to Improve Dual-energy CT Scanning for Petrophysical Applications

Optimization of measuring procedure of farmland soils using laser‐induced breakdown spectroscopy

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