Analysis of slags using laser-induced breakdown spectroscopy
Abstract
The feasibility of laser-induced breakdown spectroscopy (LIBS) for the analysis of gasification slags was investigated by comparing LIBS results to the results of an ICP-OES analyzer. A small amount of slag sample was placed on a piece of double sided adhesive tape attached to a glass microscope slide and analyzed for Al, Ca, Fe, Si, and V which are major elements found in slags. The partial least squares regression (PLS-R) and univariate simple linear regression (SLR) calibration methods indicated that apart from V (accuracy up to + 20%) the accuracy of analysis varies within 0.35–6.5% for SLR and 0.06–10% for PLS-R. A paired-sample t-test within the 95% confidence level yielded p-values greater than 0.05, meaning no appreciable statistical difference was observed between the univariate SLR with internal standardization and the multivariate PLS-R for most of the analytes. From the results obtained in this work, LIBS response varies depending on the element and the technique used for quantitative analysis. Simultaneous use of the univariate calibration curves with internal standard (intensity ratio) and PLS regression in multi-elemental analysis can help reduce the matrix effect of slags associated to their high variation in concentration. Overall, these results demonstrate the capability of LIBS asmore »
- Authors:
-
- Mississippi State Univ., Mississippi State, MS (United States). Inst. for Clean Energy Technology
- Mississippi State Univ., Mississippi State, MS (United States). Inst. for Clean Energy Technology; King Saud Univ., Riyadh (Saudi Arabia). Dept. of Physics
- National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States)
- Publication Date:
- Research Org.:
- National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1480841
- Alternate Identifier(s):
- OSTI ID: 1359833
- Grant/Contract Number:
- FE0004000
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Spectrochimica Acta. Part B, Atomic Spectroscopy
- Additional Journal Information:
- Journal Volume: 115; Journal Issue: C; Journal ID: ISSN 0584-8547
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; 36 MATERIALS SCIENCE; LIBS; ICP-OES; Slag; Internal standard; Multivariate analysis-partial least squares regression (PLS-R)
Citation Formats
Sanghapi, Hervé K., Ayyalasomayajula, Krishna K., Yueh, Fang Y., Singh, Jagdish P., McIntyre, Dustin L., Jain, Jinesh C., and Nakano, Jinichiro. Analysis of slags using laser-induced breakdown spectroscopy. United States: N. p., 2015.
Web. doi:10.1016/j.sab.2015.10.009.
Sanghapi, Hervé K., Ayyalasomayajula, Krishna K., Yueh, Fang Y., Singh, Jagdish P., McIntyre, Dustin L., Jain, Jinesh C., & Nakano, Jinichiro. Analysis of slags using laser-induced breakdown spectroscopy. United States. https://doi.org/10.1016/j.sab.2015.10.009
Sanghapi, Hervé K., Ayyalasomayajula, Krishna K., Yueh, Fang Y., Singh, Jagdish P., McIntyre, Dustin L., Jain, Jinesh C., and Nakano, Jinichiro. Tue .
"Analysis of slags using laser-induced breakdown spectroscopy". United States. https://doi.org/10.1016/j.sab.2015.10.009. https://www.osti.gov/servlets/purl/1480841.
@article{osti_1480841,
title = {Analysis of slags using laser-induced breakdown spectroscopy},
author = {Sanghapi, Hervé K. and Ayyalasomayajula, Krishna K. and Yueh, Fang Y. and Singh, Jagdish P. and McIntyre, Dustin L. and Jain, Jinesh C. and Nakano, Jinichiro},
abstractNote = {The feasibility of laser-induced breakdown spectroscopy (LIBS) for the analysis of gasification slags was investigated by comparing LIBS results to the results of an ICP-OES analyzer. A small amount of slag sample was placed on a piece of double sided adhesive tape attached to a glass microscope slide and analyzed for Al, Ca, Fe, Si, and V which are major elements found in slags. The partial least squares regression (PLS-R) and univariate simple linear regression (SLR) calibration methods indicated that apart from V (accuracy up to + 20%) the accuracy of analysis varies within 0.35–6.5% for SLR and 0.06–10% for PLS-R. A paired-sample t-test within the 95% confidence level yielded p-values greater than 0.05, meaning no appreciable statistical difference was observed between the univariate SLR with internal standardization and the multivariate PLS-R for most of the analytes. From the results obtained in this work, LIBS response varies depending on the element and the technique used for quantitative analysis. Simultaneous use of the univariate calibration curves with internal standard (intensity ratio) and PLS regression in multi-elemental analysis can help reduce the matrix effect of slags associated to their high variation in concentration. Overall, these results demonstrate the capability of LIBS as an alternative technique for analyzing gasification slags. Estimated limits of detection for Al, Ca, Fe, Si and V were 0.167, 0.78, 0.171, 0.243 and 0.01 wt.%, respectively.},
doi = {10.1016/j.sab.2015.10.009},
journal = {Spectrochimica Acta. Part B, Atomic Spectroscopy},
number = C,
volume = 115,
place = {United States},
year = {Tue Oct 27 00:00:00 EDT 2015},
month = {Tue Oct 27 00:00:00 EDT 2015}
}
Web of Science
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Works referencing / citing this record:
Improved Analysis of Manganese in Steel Samples Using Collinear Long–Short Double Pulse Laser-Induced Breakdown Spectroscopy (LIBS)
journal, September 2018
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Recent technological progress in Asia from the first Asian Symposium on Laser-induced Breakdown Spectroscopy
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Optical spectroscopy of laser-produced plasmas for standoff isotopic analysis
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