X-Ray Fluorescence analysis plays an important role in protecting consumers by detecting possible toxic heavy metals in electronics, automobiles and medical devices before they make it to market.

X-ray fluorescence is an elemental analysis tool that has been a mainstay of test labs for decades. A versatile NDT method that demands only minimal sample prep and can be run by novice operators, it is perhaps most valued for delivering accurate results quickly. Today, evolving XRF capabilities are moving this quality assurance workhorse into critical new roles in a widening spectrum of industries.

Before selecting an X-ray fluorescence (XRF) analyzer, consider what you want to achieve. For example, if you are looking to confirm alloy grades for incoming goods QC, you will want to know what the important element in those grades should be.

The first choice for use in an increasing range of applications, such as medicine, mineralogy, agriculture, manufacturing, construction, geology, and archeology, X-ray fluorescence (XRF) spectrometry and analysis has undergone significant advancement over the past century. 

Calibration laboratories that receive the A2LA accreditation are held to the highest standards published by the Organization for Standardization (ISO) meaning that they meet requirements for competence of testing and calibration laboratories covered under ISO 17025.

This x-ray fluorescence (XRF) instrument expands the MicroConnex metrology capability set to include best-in-class thickness and composition measurements of very thin metal coatings, conductive traces, and small components and structures.

 A white paper on the technology behind the Watson XRF metal analyzer featuring the world's first field exchangeable X-ray cartridge.

Oxford Instruments introduces the MAXXI 6 X-ray Fluorescence (XRF) analyzer for coating thickness and materials analysis.

XRF is a spectrometric technique that can be applied to many materials for composition analysis, as well as coating and multilayer thin-film thickness measurements.

When processes fail unexpectedly, companies face irrecoverable loss of revenue and profit, not to mention the potential for irreparable damage to their brand. Failures are multivariate: they can be found in individual parts, entire machines, or within a process.