Quantitative Determination of Trace Heavy Metals and Selected Rock-Forming Elements in Porous Carbon Materials by the X-ray Fluorescence Method

Квантитативное определение следовых тяжелых металлов и избранных петрографических элементов в пористых углеродных материалах методом рентгеновской флуоресценции
В. Г. Поваров, Viacheslav A. Rudko, T. N. Kopylova, M. A. Sinyakova
2021-09-15

X-ray fluorescenceXRF methodrock-forming elementssample preparation for carbon materialstrace heavy metals
A new X-ray fluorescence (XRF) method is proposed for sample preparation and impurity quantification for elements heavier than sodium in carbon materials. The analysis is suitable for various materials including amorphous ones, such as petroleum cokes, with an impurity content higher than 0.01%. We compared a new method with the regular additive method to measure impurities in electrode graphite and petroleum coke. The XRF-based method provides the same sensitivity and accuracy and much greater reproducibility of the analysis results for variations in the sample mass, its density, and coverage by exciting X-ray radiation. The method does not require changes in the instrument software and is easily implemented on commercial analytical equipment.
1
A new XRF sample preparation and impurity quantification method is proposed for elements heavier than sodium in carbon materials.
2
Compared with the regular additive method, the new XRF method yields the same sensitivity and accuracy.
3
Implementation requires no instrument software changes and can be used on commercial analytical XRF equipment.
4
The method is suitable for various carbon materials, including amorphous ones like petroleum cokes, with impurity content >0.01%.
5
The new method provides much greater reproducibility across variations in sample mass, density, and X-ray coverage.

Porous carbon materials (e.g., electrode graphite and petroleum coke)

Quantitative determination of trace heavy metals and selected rock-forming elements (>Na) using a new X-ray fluorescence (XRF) sample-preparation and analysis method, including sensitivity, accuracy, and reproducibility versus the additive method

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Publication Date
2021-09-15
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Authors
В. Г. Поваров
Viacheslav A. Rudko
T. N. Kopylova
M. A. Sinyakova
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