Analytical utility of the M series x-ray emission lines applied to uranium, neptunium, plutonium, and americium

A rapid x-ray fluorescence (XRF) method for the quantitative analysis of uranium i n ore and process samples i s demonstrated. The method requires no uranium ore standar.ds and provides a relative precision of 22.5%. Particl e-size and sel f-absorption effects are eval uated a1 ong wi t h current methods of exci t a t i on and detection for M, L, and K series uranium x-rays. Sensitivities and detection 1 imi t s are comparable using either energy dispersive or wavelength dispersive analysis of uranium L x-rays, and wavelength dispersive analysis of uranium M x-rays f o r both thick and t h i n samples. The XRF methods are more sensitive than the analysis of uranium by F52cf neutron-induced y-ray analysis o r by direct photon analysis of urani um daughters.

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Separation and Determination of Transplutonium Elements

Myasoedov¹,

Lebedev²,

Choppin³

1985

C R C Critical Reviews in Analytical Chemistry

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Analytical utility of the M series x-ray emission lines applied to uranium, neptunium, plutonium, and americium

Cited by 5 publications

References 13 publications

An X-ray fluorescence and machine learning based methodology for the direct non-destructive compositional analysis of (Th_1−xU_x)O₂ fuel pellets

An X-ray fluorescence and machine learning based methodology for the direct non-destructive compositional analysis of (Th_1−xU_x)O₂ fuel pellets

X-Ray Fluorescence Capabilities for Uranium Ore Analysis

Separation and Determination of Transplutonium Elements

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Analytical utility of the M series x-ray emission lines applied to uranium, neptunium, plutonium, and americium

Cited by 5 publications

References 13 publications

An X-ray fluorescence and machine learning based methodology for the direct non-destructive compositional analysis of (Th1−xUx)O2 fuel pellets

An X-ray fluorescence and machine learning based methodology for the direct non-destructive compositional analysis of (Th1−xUx)O2 fuel pellets

X-Ray Fluorescence Capabilities for Uranium Ore Analysis

Separation and Determination of Transplutonium Elements

Contact Info

Product

Resources

About

An X-ray fluorescence and machine learning based methodology for the direct non-destructive compositional analysis of (Th_1−xU_x)O₂ fuel pellets

An X-ray fluorescence and machine learning based methodology for the direct non-destructive compositional analysis of (Th_1−xU_x)O₂ fuel pellets