Practical Variables That Influence XRF Results
XRF measures fluorescent X-rays emitted from a sample, so anything that changes the signal reaching the detector can affect accuracy. Rough, dirty, corroded, coated, or uneven surfaces can reduce reliability because the analyser may not be measuring the true material beneath the surface.
Sample composition is also important. Elements in a sample can absorb or enhance X-ray signals from other elements, which is known as a matrix effect. This is why calibration matters. An analyser should be configured for the correct application, whether testing alloys, ores, soils, powders, slurries, coatings, or other materials.
For powders, ores, and heterogeneous samples, particle size, moisture content, sample thickness, and mixing can all influence results. Longer test times can improve counting statistics, especially for lower concentrations, but they cannot compensate for a poorly prepared or unrepresentative sample.
Reviewing XRF Suitability for Your Samples
For a broader explanation of the method, see PAS’s overview of X-Ray Fluorescence technology. To assess instrument options for field or site-based testing, review PAS’s handheld XRF analysers through Portable Analytical Solutions, or contact our team to discuss your sample type and accuracy requirements.