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XRF online analyzer for measurements of P(2)O(5) content in phosphate slurry

Online X-ray Fluorescence (XRF) setup was constructed and optimized for analysing the P(2)O(5) content in phosphate slurry (PS). Serval samples were analysed using two configurations of the setup, one with low and vertical flow and another with high and horizontal flow. The mean absolute error achie...

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Detalles Bibliográficos
Autores principales: Ben Amar, Ismail, Thomas, Andrew, Bachmann, Claus, Hafnaoui, Anass, Griguer, Hafid, Miled, Amine, Messaddeq, Younès
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10589280/
https://www.ncbi.nlm.nih.gov/pubmed/37864005
http://dx.doi.org/10.1038/s41598-023-45181-5
Descripción
Sumario:Online X-ray Fluorescence (XRF) setup was constructed and optimized for analysing the P(2)O(5) content in phosphate slurry (PS). Serval samples were analysed using two configurations of the setup, one with low and vertical flow and another with high and horizontal flow. The mean absolute error achieved through the first configuration was 0.87% and 0.38% using the second configuration. Reference samples were analyzed using the two configurations to construct the calibration curves. The curves cover a concentration range of P(2)O(5) from 13.50 to 18.50% when considering the horizontal flow configuration, and a range of 14.00–15.60% when considering the vertical flow setup. An experimental study was conducted in order to optimize the measurement parameters for the online measurement of P(2)O(5) in the phosphate slurry using the horizontal flow setup. A good signal-to-noise ratio (SNR) of [Formula: see text] was attained using an excitation energy of 20 kV or 25 kV, an excitation current of 600 µA, a distance of 18 mm between the sample and the detector, a measurement time of 60 s per spectrum and the use of an Aluminum filter between the X-ray tube and the measurement window. Online X-ray fluorescence analysis of P entails some challenges due to the low characteristic energy of P, the phosphate slurry matrix and the online analysis mode. However, the outcomes of this study indicate that XRF is a promising technology to meet the requirement for digitalization of chemical analysis of phosphate products.