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The Analysis of Oil Additives Using Fundamental Influence Coefficients

Published online by Cambridge University Press:  06 March 2019

H. M. West*
Affiliation:
Philips Analytical Dept. Pye Unicam Limited York Street, Cambridge, England
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Extract

One of the most important applications o£ XRF in the oil industry has been in the analysis of oil additives which range from Mg to Ba. In such a low atomic number, hydrocarbon matrix, small variations in the additives cause pronounced changes in the average atomic number of the matrix and hence give rise to strong interelement effects. In recent years a number of mathematical methods have been developed to correct the measured X-ray intensity of the analyte litie for these considerable effects. This paper describes a method for the determination of Zn,Ba,Ca,CI,S,P and Mg in oil additives using a concentration based correction model in which influence coefficients (alphas) are applied.

Type
IV. XRF Applications : Metals, Catalysts, Oils
Copyright
Copyright © International Centre for Diffraction Data 1981

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References

1. Birks etal., Anal. Chem. 22, 1258 (1950)Google Scholar
2. Davis, E.N. and van Nordstrand, R.A., Anal.Chem. 26., 973 (1954)Google Scholar
3. Louis R.Z., , Anal. Chem. 201, (5) 336 (1963)Google Scholar
4. Haycock, R.F.J Inst. Pet 50 123 (1964)Google Scholar
5. Bird, R.J., Toft, R.W. J.Inst. Pet 56 550 (1970)Google Scholar
6. de Jongh, W. K., X-ray Spectrom 2, 151 (1973)Google Scholar
7. Jenkins et al; Advances in X-ray Ananiysis Vol. 18 Google Scholar