Signal processing algorithm for simultaneous multi-element analysis by laser-produced plasma spectroscopy

Israel Schechter; Richard W. Wisbrun; Reinhard Niessner; Hartmut Schroeder; Karl Ludwig Kompa

doi:10.1117/12.172511

1 February 1994 Signal processing algorithm for simultaneous multielement analysis by laser-produced plasma spectroscopy

Israel Schechter, Richard W. Wisbrun, Reinhard Niessner, Hartmut Schroeder, Karl Ludwig Kompa

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Proceedings Volume 2093, Substance Identification Analytics; (1994) https://doi.org/10.1117/12.172511
Event: Substance Identification Technologies, 1993, Innsbruck, Austria

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.

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Israel Schechter, Richard W. Wisbrun, Reinhard Niessner, Hartmut Schroeder, and Karl Ludwig Kompa "Signal processing algorithm for simultaneous multielement analysis by laser-produced plasma spectroscopy", Proc. SPIE 2093, Substance Identification Analytics, (1 February 1994); https://doi.org/10.1117/12.172511

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