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Title: Measurement of Eu and Yb in aqueous solutions by underwater laser induced breakdown spectroscopy

Abstract

In this paper, we report the use of laser induced breakdown spectroscopy (LIBS) to detect dissolved Eu and Yb in bulk aqueous solutions. Ten strong emission lines of Eu and one strong emission line of Yb were identified in the underwater LIBS spectra obtained by using Czerny–Turner spectrometer within the wavelength range of 375–515 nm. Temporal evolution of plasma and the effect of laser pulse energy on the spectral emission were studied. Finally, calibration curves using the concentration range from 500 to 10,000 ppm were developed and limits of detection for Eu and Yb were estimated to be 209 and 156 ppm, respectively.

Authors:
 [1];  [2];  [3]; ORCiD logo [3];  [4]
  1. Mississippi State Univ., Mississippi State, MS (United States). Dept. of Physics and Astronomy; National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States)
  2. National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States). AECOM Technology Corporation
  3. National Energy Technology Lab. (NETL), Pittsburgh, PA, (United States)
  4. Mississippi State Univ., Mississippi State, MS (United States). Dept. of Physics and Astronomy; JPS Advanced Technology LLC, Starkville, MS (United States)
Publication Date:
Research Org.:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1441130
Alternate Identifier(s):
OSTI ID: 1550005
Resource Type:
Accepted Manuscript
Journal Name:
Spectrochimica Acta. Part B, Atomic Spectroscopy
Additional Journal Information:
Journal Volume: 137; Journal Issue: C; Journal ID: ISSN 0584-8547
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY

Citation Formats

Bhatt, Chet R., Jain, Jinesh C., Goueguel, Christian L., McIntyre, Dustin L., and Singh, Jagdish P. Measurement of Eu and Yb in aqueous solutions by underwater laser induced breakdown spectroscopy. United States: N. p., 2017. Web. doi:10.1016/j.sab.2017.09.009.
Bhatt, Chet R., Jain, Jinesh C., Goueguel, Christian L., McIntyre, Dustin L., & Singh, Jagdish P. Measurement of Eu and Yb in aqueous solutions by underwater laser induced breakdown spectroscopy. United States. https://doi.org/10.1016/j.sab.2017.09.009
Bhatt, Chet R., Jain, Jinesh C., Goueguel, Christian L., McIntyre, Dustin L., and Singh, Jagdish P. Wed . "Measurement of Eu and Yb in aqueous solutions by underwater laser induced breakdown spectroscopy". United States. https://doi.org/10.1016/j.sab.2017.09.009. https://www.osti.gov/servlets/purl/1441130.
@article{osti_1441130,
title = {Measurement of Eu and Yb in aqueous solutions by underwater laser induced breakdown spectroscopy},
author = {Bhatt, Chet R. and Jain, Jinesh C. and Goueguel, Christian L. and McIntyre, Dustin L. and Singh, Jagdish P.},
abstractNote = {In this paper, we report the use of laser induced breakdown spectroscopy (LIBS) to detect dissolved Eu and Yb in bulk aqueous solutions. Ten strong emission lines of Eu and one strong emission line of Yb were identified in the underwater LIBS spectra obtained by using Czerny–Turner spectrometer within the wavelength range of 375–515 nm. Temporal evolution of plasma and the effect of laser pulse energy on the spectral emission were studied. Finally, calibration curves using the concentration range from 500 to 10,000 ppm were developed and limits of detection for Eu and Yb were estimated to be 209 and 156 ppm, respectively.},
doi = {10.1016/j.sab.2017.09.009},
journal = {Spectrochimica Acta. Part B, Atomic Spectroscopy},
number = C,
volume = 137,
place = {United States},
year = {Wed Sep 13 00:00:00 EDT 2017},
month = {Wed Sep 13 00:00:00 EDT 2017}
}

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Cited by: 11 works
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Works referencing / citing this record:

Laser focusing geometry effects on laser-induced plasma and laser-induced breakdown spectroscopy in bulk water
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Estimation of the Fe and Cu Contents of the Surface Water in the Ebinur Lake Basin Based on LIBS and a Machine Learning Algorithm
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