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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 49, Iss. 13 — May. 1, 2010
  • pp: C36–C41

Quantitative analysis of tin alloy combined with artificial neural network prediction

Seong Y. Oh, Fang-Yu Yueh, and Jagdish P. Singh  »View Author Affiliations


Applied Optics, Vol. 49, Issue 13, pp. C36-C41 (2010)
http://dx.doi.org/10.1364/AO.49.000C36


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Abstract

Laser-induced breakdown spectroscopy was applied to quantitative analysis of three impurities in Sn alloy. The impurities analysis was based on the internal standard method using the Sn I 333.062 - nm line as the reference line to achieve the best reproducible results. Minor-element concentrations (Ag, Cu, Pb) in the alloy were comparatively evaluated by artificial neural networks (ANNs) and calibration curves. ANN was found to effectively predict elemental concentrations with a trend of nonlinear growth due to self-absorption. The limits of detection for Ag, Cu, and Pb in Sn alloy were determined to be 29, 197, and 213 ppm , respectively.

© 2010 Optical Society of America

OCIS Codes
(120.6200) Instrumentation, measurement, and metrology : Spectrometers and spectroscopic instrumentation
(140.3440) Lasers and laser optics : Laser-induced breakdown
(300.2140) Spectroscopy : Emission
(300.6210) Spectroscopy : Spectroscopy, atomic
(300.6360) Spectroscopy : Spectroscopy, laser
(350.5400) Other areas of optics : Plasmas

History
Original Manuscript: September 28, 2009
Revised Manuscript: January 27, 2010
Manuscript Accepted: January 29, 2010
Published: February 19, 2010

Citation
Seong Y. Oh, Fang-Yu Yueh, and Jagdish P. Singh, "Quantitative analysis of tin alloy combined with artificial neural network prediction," Appl. Opt. 49, C36-C41 (2010)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-49-13-C36


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