Hostname: page-component-78c5997874-g7gxr Total loading time: 0 Render date: 2024-11-20T06:12:01.289Z Has data issue: false hasContentIssue false
  • English
  • Français

Six Models for Interelement Correction in X-Ray Analysis

Published online by Cambridge University Press:  06 March 2019

H. E. Marr
H. E. Marr*
Affiliation:
Bureau of Mines College Park, Maryland 20740
Get access

Abstract

Simplified models are “being used, at the College Park Metallurgy Research Center for six popular methods for matrix correction in X-ray analysis, including Lachance-Traill, Lucas-Tooth and Pyne, and Rasberry-Heinrich procedures. A choice of models provides the broader data-handling capability required for processing information obtained by both energy-dispersive and wavelength-dispersive X-ray systems. The selection of model for each problem depends on the system and the availability of standard reference materials. Programming developed at College Park using the simplified models has been formulated for use by analytical chemists with minimal computer training. Some of the considerations involved in developing a versatile computer program for matrix correction will be presented, as well as applications of the procedures to iron-nickel-chromium alloys, aluminum alloys, and low-alloy steels.

Type
Mathematical Correction Procedures for X-Ray Spectrochemical Analysis
Information
Advances in X-Ray Analysis , Volume 19: Twenty-Fourth Annual Conference on Applications of X-ray Analysis, August 6-8, 1975 , 1975 , pp. 167 - 180
Copyright
Copyright © International Centre for Diffraction Data 1975

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1. Sherman, J., “The Theoretical Derivation of Fluorescent X-Ray Intensities from. Mixtures,” Spectrochim. Acta 7, 283–306 (1955).Google Scholar
2. Marr, H. E., “Rapid Identification of Copper-Base Alloys by Energy Dispersion X-Ray Analysis,” BuMines RI 78 78 , (1974).Google Scholar
3. Rasberry, S. D. and Heinrich, K. F. J., “Calibration for Interelement Effects in X-Ray Fluorescence,” Anal. Chem. 46, 81–89 (1974).Google Scholar
4. Lucas-Tooth, H. J. and Price, B. J., “A Mathematical Method for the Investigation of Inter-Element Effects in X-Ray Fluorescence Analysis,” Metallurgia 64 149–152 (1961).Google Scholar
5. as-Tooth, J. Luc and. Pyne, C., “The Accurate Determination of Major Constituents by X-Ray Fluorescence Analysis in the Presence of Large Interelement Effects,” Advan. X-Ray Anal. 7, 523–541 (1964).Google Scholar
6. Beattie, H. J. and Brissey, R. M., “Calibration Method for X-Ray Fluorescence Spectrometry,” Anal. Chem. 26, 900–983 (1954).Google Scholar
7. Lachance, G. R. and. Traill, K. J., “A Practical Solution to the Matrix Problem in X-Ray Analysis,” Can. Spectrosc. 11 , 43–62 (1966).Google Scholar
8. Claisse, F. and Quintin, M., “Generalisation of the Lachance-Traill Method for the Correction of the Matrix Effect in X-Ray Fluorescence Analysis,” Can. Spectrosc. 12, 129–146 (1967).Google Scholar
9. Rousseau, R. and Claisse, F., “Theoretical Alpha Coefficients for the Claisse-Quintin Relation, for X-Ray Spectrochemical Analysis,” X-Ray Spectrometry 3, 31–36 (1974).Google Scholar
10. Wampler, R. H., “An Evaluation of Linear Least Squares Computer Programs,” Research, J. UBS 73B, 59-90 (1969).Google Scholar
11. Dick, J. G., and Fraser, A. R., “X-Ray Fluorescence Spectrometric Analysis of Commercial Aluminum Alloys,” Can. Spectrosc. 17 , 135–140 (1972).Google Scholar