Andreas Wiederin, Martin Martschini, Aya Sakaguchi, Peter Steier, Karin Hain
Abstract Isobaric interference is a major limitation of mass spectrometric measurements of trace radionuclides. For accelerator mass spectrometry (AMS), isobaric separation is only available up to the mass range of fission products. The present work explores the potential of ion-laser interaction mass spectrometry (ILIAMS) for trace analysis of anthropogenic actinides with isobaric interference. Such capabilities are crucial for characterizing a highly sought-after isotopic spike material for 237 Np measurements and for accessing additional anthropogenic actinides with AMS, which could serve as environmental tracers, emission source signatures, or for determining the age of nuclear materials. ILIAMS is a novel low-energy isobar separation technique that combines a gas-filled ion cooler with reactive gases or high-power lasers to suppress isobars selectively. In this study, we demonstrate that UF 4 – can be selectively suppressed by two orders of magnitude using a 637 nm laser without affecting NpF 4 – . Initial results indicate the potential for the selective suppression of AmF 5 – to measure PuF 5 – or, in reverse, the suppression of PuF 4 – to measure AmF 4 – using a 355 nm laser. The admixture of O 2 with the buffer gas of the ion cooler can be used to suppress UF 4 – by up to seven and NpF 4 – by up to three orders of magnitude against PuF 4 – . The first application of these separation schemes for the characterization of a prototype 236 Np spike demonstrated the successful chemical removal of the co-produced isobars 236 U and 236 Pu, and similar measurements can now be performed for other prospective Np spike materials. The isobar separation schemes developed here can also enable the measurement of 241 Pu without chemically removing 241 Am or 242m Am in the presence of 242 Pu. Even measuring 238 Pu using AMS has become feasible for suitable sample matrices, despite the presence of the primordial isobar 238 U. These are important isotopic signatures for attributing environmental contamination to potential sources of emissions.