Multivariate statistical analysis of particle x-ray spectra

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Multivariate statistical analysis (MSA) is a powerful tool for the analysis of series of spectra. This paper explores an application of MSA to a series of energy dispersive X-ray (EDX) spectra acquired in the scanning electron microscope (SEM) from a series of particles. The raw data were series of spectra previously acquired to test analytical procedures for trace element detection. This paper explores the possibility of performing the trace element detection with MSA components that have been extracted from the raw data without any a priori assumptions about the information content of the particle spectra. Particles were prepared from two ... continued below

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4 p.

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Anderson, I.M. & Small, J.A. March 1, 1998.

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  • Anderson, I.M. Oak Ridge National Lab., TN (United States). Metals and Ceramics Div.
  • Small, J.A. NIST, Gaithersburg, MD (United States). Surface and Microanalysis Science Div.

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Description

Multivariate statistical analysis (MSA) is a powerful tool for the analysis of series of spectra. This paper explores an application of MSA to a series of energy dispersive X-ray (EDX) spectra acquired in the scanning electron microscope (SEM) from a series of particles. The raw data were series of spectra previously acquired to test analytical procedures for trace element detection. This paper explores the possibility of performing the trace element detection with MSA components that have been extracted from the raw data without any a priori assumptions about the information content of the particle spectra. Particles were prepared from two analytical glasses, dispersed onto carbon substrates and coated with carbon. The compositions of the two glasses are substantially similar, except that one glass (K-3106) contains 0.7 wt.% Fe, whereas the other glass (K-3069) does not contain Fe at a detectable level. Spectra were acquired with a 20 kV accelerating voltage from 35 different particles of each glass, with particle diameters that ranged from 1--10 {micro}m, and with acquisition times of 15, 60 and 200 S. A test data file of 75 spectra was composed for each acquisition time by arranging the 70 acquired spectra in no particular order in a composite file, and inserting 5 duplicate spectra as a test of reproducibility. MSA was performed using software developed at Oak Ridge National Laboratory.

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4 p.

Notes

OSTI as DE98004945

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  • Microscopy and microanalysis 1998, Atlanta, GA (United States), 12-16 Jul 1998

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  • Other: DE98004945
  • Report No.: ORNL/CP--97479
  • Report No.: CONF-980713--
  • Grant Number: AC05-96OR22464
  • Office of Scientific & Technical Information Report Number: 654184
  • Archival Resource Key: ark:/67531/metadc707149

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • March 1, 1998

Added to The UNT Digital Library

  • Sept. 12, 2015, 6:31 a.m.

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  • Nov. 3, 2016, 6:59 p.m.

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Anderson, I.M. & Small, J.A. Multivariate statistical analysis of particle x-ray spectra, article, March 1, 1998; Tennessee. (digital.library.unt.edu/ark:/67531/metadc707149/: accessed December 14, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.