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

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

6 Zitate (Scopus)

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.

OriginalspracheEnglisch
TitelProceedings of SPIE - The International Society for Optical Engineering
Redakteure/-innenJames L. Flanagan, Richard J. Mammone, Albert E. Brandenstein, Edward R. Pike, Stelios C.A. Thomopoulos, al et al
Herausgeber (Verlag)Publ by Society of Photo-Optical Instrumentation Engineers
Seiten310-321
Seitenumfang12
ISBN (Print)0819413666
PublikationsstatusVeröffentlicht - 1994
Extern publiziertJa
VeranstaltungSubstance Identification Analytics - Innsbruck, Austria
Dauer: 4 Okt. 19938 Okt. 1993

Publikationsreihe

NameProceedings of SPIE - The International Society for Optical Engineering
Band2093
ISSN (Print)0277-786X

Konferenz

KonferenzSubstance Identification Analytics
OrtInnsbruck, Austria
Zeitraum4/10/938/10/93

Fingerprint

Untersuchen Sie die Forschungsthemen von „Signal processing algorithm for simultaneous multi-element analysis by laser-produced plasma spectroscopy“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren