Analysis of slags using laser-induced breakdown spectroscopy

Journal Article · Tue Oct 27 00:00:00 EDT 2015 · Spectrochimica Acta. Part B, Atomic Spectroscopy

DOI:https://doi.org/10.1016/j.sab.2015.10.009· OSTI ID:1480841

Sanghapi, Hervé K. ^[1]; Ayyalasomayajula, Krishna K. ^[1]; Yueh, Fang Y. ^[1]; Singh, Jagdish P. ^[2]; McIntyre, Dustin L. ^[3]; Jain, Jinesh C. ^[3]; Nakano, Jinichiro ^[3]

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1. Mississippi State Univ., Mississippi State, MS (United States). Inst. for Clean Energy Technology
2. Mississippi State Univ., Mississippi State, MS (United States). Inst. for Clean Energy Technology; King Saud Univ., Riyadh (Saudi Arabia). Dept. of Physics
3. National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States)

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.

• Research Organization: National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States)
• Sponsoring Organization: USDOE
• Grant/Contract Number: FE0004000
• OSTI ID: 1480841
• Alternate ID(s): OSTI ID: 1359833
• Journal Information: Spectrochimica Acta. Part B, Atomic Spectroscopy, Vol. 115, Issue C; ISSN 0584-8547
• Publisher: Elsevier
• Country of Publication: United States
• Language: English

Related Subjects

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
36 MATERIALS SCIENCE
LIBS
ICP-OES
Slag
Internal standard
Multivariate analysis-partial least squares regression (PLS-R)