Catalogo Articoli (Spogli Riviste)

OPAC HELP

Titolo:
Identifying alloys by laser-induced breakdown spectroscopy with a time-resolved high resolution echelle spectrometer
Autore:
Goode, SR; Morgan, SL; Hoskins, R; Oxsher, A;
Indirizzi:
Univ S Carolina, Dept Chem & Biochem, Columbia, SC 29208 USA Univ S Carolina Columbia SC USA 29208 m & Biochem, Columbia, SC 29208 USA
Titolo Testata:
JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY
fascicolo: 9, volume: 15, anno: 2000,
pagine: 1133 - 1138
SICI:
0267-9477(2000)15:9<1133:IABLBS>2.0.ZU;2-1
Fonte:
ISI
Lingua:
ENG
Soggetto:
ND-YAG LASER; QUANTITATIVE-ANALYSIS; ELEMENTAL ANALYSIS; ATMOSPHERIC-PRESSURE; IRON-ORE; SAMPLES; PLASMAS;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Citazioni:
28
Recensione:
Indirizzi per estratti:
Indirizzo: Goode, SR Univ S Carolina, Dept Chem & Biochem, Columbia, SC 29208 USA Univ S Carolina Columbia SC USA 29208 m, Columbia, SC 29208 USA
Citazione:
S.R. Goode et al., "Identifying alloys by laser-induced breakdown spectroscopy with a time-resolved high resolution echelle spectrometer", J ANAL ATOM, 15(9), 2000, pp. 1133-1138

Abstract

Laser-induced breakdown spectroscopy (LIBS) produces line spectra from solid samples without any pre-treatment. The spectra were reduced to a matrix of intensities for the most intense lines and a number of different methodsof identification were applied to determine if metal alloys could be distinguished by their spectra. The methods included principal component analysis, cluster analysis, multiple discriminant analysis, and spectral matching with a similarity index. The unsupervised methods, principal component analysis and cluster analysis, showed that the samples can be divided into groups based on their LIBS spectra. Discriminant analysis achieved an overall 97% correct classification into metal groups. Finally, a spectral matching approach was used to compare 234 individual spectra to a library of 39 average spectra. The accuracy of the matches varied from 97.4% correct prediction of the class of material to 79.9% correct identification of the specific alloy.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 21/09/20 alle ore 16:08:01