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Proceedings Paper

Signal processing algorithm for simultaneous multi-element analysis by laser-produced plasma spectroscopy
Author(s): Israel Schechter; Richard W. Wisbrun; Reinhard Niessner; Hartmut Schroeder; Karl Ludwig Kompa
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Paper Abstract

We developed a signal processing algorithm to analyze the signals obtained by an OMA system for laser-produced plasmas. This signal processing program is applied for multi- component analysis of trace elements in particulate materials (e.g. soils and industrial wastes) and is designed to overcome signal fluctuations due to instability of the plasma characteristics and due to some of the matrix effects. The program involves a constrained normalization algorithm, an automatic peak assignment, a functional fit of all peaks of interest and their surroundings, and a principal components regression calibration model. These algorithms, together with experimental optimizations, are shown to solve most of the problems present in laser plasma analysis of particulate material and to produce detection limits in the ppm range.

Paper Details

Date Published: 1 February 1994
PDF: 12 pages
Proc. SPIE 2093, Substance Identification Analytics, (1 February 1994); doi: 10.1117/12.172511
Show Author Affiliations
Israel Schechter, Technische Univ. Muenchen and Technion - Israel Institute of Technology (Israel)
Richard W. Wisbrun, Technische Univ. Muenchen (Germany)
Reinhard Niessner, Technische Univ. Muenchen (Germany)
Hartmut Schroeder, Max-Planck-Institut fuer Quantenoptik (Germany)
Karl Ludwig Kompa, Max-Planck-Institut fuer Quantenoptik (Germany)


Published in SPIE Proceedings Vol. 2093:
Substance Identification Analytics
James L. Flanagan; Richard J. Mammone; Albert E. Brandenstein; Edward Roy Pike; Stelios C. A. Thomopoulos; Marie-Paule Boyer; H. K. Huang; Osman M. Ratib, Editor(s)

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