Optimizing X-ray fluorescence spectrometry using fusion sample preparation to quantify ten major and minor elements in manganese ores

Jingzhi Ma

Article ID: 2041
Vol 4, Issue 2, 2023
DOI: https://doi.org/10.54517/aas.v4i2.2041
Received: 23 August 2023; Accepted: 29 September 2023; Available online: 9 October 2023; Issue release: 31 December 2023


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Abstract

A rapid and straightforward method has been devised for direct analysis of SiO2, Al2O3, Fe, MgO, CaO, K2O, Mn, TiO2, P, and Zn in manganese ore samples using an X-ray fluorescence spectrometer (XRF). The method employs a glass fusion technique with a flux composed of Li2B4O7, LiBO2, and LiF (in a mass ratio of 45:10:5), NH4NO3 as an oxidizing agent, and LiBr as a stripping agent. The method's experimental parameters were fine-tuned, and its performance metrics were assessed. The proposed method was used to analyze the certified reference materials GBW07261 to GBW07266, yielding relative standard deviations (RSD, n = 12) below 2%. Accuracy was verified using synthetic samples, and the obtained results were in line with the certified values.


Keywords

fusion sample preparation; XRF; manganese ores; condition optimization


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