NITON XRF Analyzers

NITON Mining Analyzers

NITON XL3Handheld Thermo Scientific NITON® 500 Series XRF analyzers were designed for the simultaneous multi-element analysis of mining samples including ores, soils, sediments and cores, concentrates, heads and tailings, coatings, and filter media, allowing for quick and easy delineation of ore boundaries, process adjustments, and much more.

The NITON 500 Series is available with your choice of excitation options:  

  • XLt - first portable x-ray tube based instrument in a handheld, environmentally sealed package
  • XL3t - 50 kV (maximum) miniaturized x-ray tube with multiple primary filters    
  • XL3p - Second-generation patented Infiniton™ radioisotope source  

NITON analyzers have been designed to maximize productivity. Assaying samples in the field significantly reduces the cost, time, and labor involved in exploration and survey activities. Thermo Scientific NITON  500 Series analyzers provide geochemical data within seconds, which can mean immediate ore flagging, avoidance of lab turnaround delays, and rapid delineation of ore boundaries. Add our unique Helium Purge Light Element Analysis Package to accurately quantify light elements such as magnesium, aluminum and silicon.  

Weighing less than 3 lbs (~1.3 kg) and made of durable GE Lexan plastics, NITON XL3 500 Series analyzers are the ideal tools for obtaining real-time geochemical data in the field. NITON XL3 analyzers provide users with real-time elemental sample analysis directly at the mine face, from bagged samples during survey or drilling operations, or from prepared samples.  

Available with a full suite of accessories – from sample preparation to test stands, to telescoping extension handles for in-situ analysis, the NITON combines the performance of lab-grade XRF instrumentation with the ease of use and convenience of a handheld analyzer. NITON analyzers offer integrated Bluetooth™ GPS readings for rapid mine mapping or for identifying areas of interest during exploration activities.

Product Literature

Mining Applications