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

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsJames L. Flanagan, Richard J. Mammone, Albert E. Brandenstein, Edward R. Pike, Stelios C.A. Thomopoulos, al et al
PublisherPubl by Society of Photo-Optical Instrumentation Engineers
Pages310-321
Number of pages12
ISBN (Print)0819413666
StatePublished - 1994
Externally publishedYes
EventSubstance Identification Analytics - Innsbruck, Austria
Duration: 4 Oct 19938 Oct 1993

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume2093
ISSN (Print)0277-786X

Conference

ConferenceSubstance Identification Analytics
CityInnsbruck, Austria
Period4/10/938/10/93

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