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Updated: Nov 5, 2025

Structural Studies of Macromolecules in Solution using Small Angle X-Ray Scattering
Published on: November 5, 2018
XRF and XRPD data sets in ternary mixtures with high level micro-absorption and/or preferred orientations problems
Beatrice Mangolini1, Luca Palin1,2, Marco Milanesio1
1Universitá del Piemonte Orientale, Dipartimento di Scienze e Innovazione Tecnologica, Viale T. Michel 11, Alessandria 15121, Italy.
This study presents a method for generating standardized X-ray Powder Diffraction (XRPD) and X-ray Fluorescence (XRF) data sets. These data address challenges in quantitative phase analysis (QPA) for industrial materials like graphite and urea.
Area of Science:
- Materials Science
- Analytical Chemistry
- Crystallography
Background:
- Quantitative phase analysis (QPA) using X-ray Powder Diffraction (XRPD) is hindered by micro-absorption (MA) and preferred orientations (PO) in industrial samples.
- Elemental analysis via X-ray Fluorescence (XRF) is often coupled with XRPD for phase identification, especially for elements heavier than sodium.
- Industrial commodities like graphite and urea present significant analytical challenges for QPA due to their physical properties.
Purpose of the Study:
- To develop a standardized methodology for creating complex XRPD and XRF data sets.
- To provide a benchmark for evaluating different QPA approaches and software performance.
- To establish a foundation for an open-access repository of standardized analytical data.
Main Methods:
- Utilized a simplex-centroid design augmented approach for experimental design to ensure homogeneous exploration of ternary domains.
- Prepared sample mixtures of graphite, zinc acetate, and urea with controlled preferred orientation (PO) in graphite via sieving.
- Collected comprehensive XRF and XRPD data across four experimental domains, ranging from pure phases to equal-weighted mixtures.
Main Results:
- Successfully generated diverse data sets with increasing analytical difficulty for QPA testing.
- Demonstrated the feasibility of controlling preferred orientation (PO) in graphite through physical methods like sieving.
- Established a repository on Mendeley Data containing the collected XRF and XRPD data.
Conclusions:
- The developed recipe provides a reliable method for producing standardized data crucial for QPA validation.
- The open-access data repository facilitates reproducible research and advancement in analytical techniques for industrial materials.
- This approach enables the creation of a comprehensive, expandable dataset for benchmarking QPA software and methodologies.
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