1983
DOI: 10.1021/ac00262a018
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Multielement analysis of unweighed oil samples by x-ray fluorescence spectrometry with two excitation sources

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Cited by 23 publications
(8 citation statements)
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“…The energy dispersive XRF used a combination of titanium and zirconium excitation sources . A dual-spectrum backscatter parameter matrix correction method was used in the analyses to provide increased sensitivities over a wider range of elements (Sanders et al 1983). With this dual source system, the suite of elements measured extended from aluminum to strontium (excluding germanium, scandium, and the noble gases) and also included mercury and lead.…”
Section: Elemental Analysismentioning
confidence: 99%
“…The energy dispersive XRF used a combination of titanium and zirconium excitation sources . A dual-spectrum backscatter parameter matrix correction method was used in the analyses to provide increased sensitivities over a wider range of elements (Sanders et al 1983). With this dual source system, the suite of elements measured extended from aluminum to strontium (excluding germanium, scandium, and the noble gases) and also included mercury and lead.…”
Section: Elemental Analysismentioning
confidence: 99%
“…The samples were analyzed with a Kevex spectrometer, model 810a, using Zr and Ag secondary sources. The procedure followed was that described by Sanders et al (1983).…”
Section: Characterization Of Sample Componentsmentioning
confidence: 99%
“…A comprehensive review of studies based on the use of the Compton scattering, especially for monochromatic (secondary and radioactive) sources, is given by Nielson [43]. A detailed analyses for matrix absorption and scattering effects for fundamental parameter (FP) analysis of a variety of materials from low Z substrates such as petroleum to plant, mineral, and metal substrates using single (Zr) [44] and double (Zr and Ti) secondary X-ray sources [45] is described by Nielsen using an iterative analysis procedure [35].…”
Section: Fundamental Parameters Analysismentioning
confidence: 99%