Year
2023
File Attachment
finalpaper_350_0425040509.pdf655.63 KB
Abstract
The international nuclear safeguards community continues to seek rapid, accurate, and precise
characterization capabilities for the in-field measurement of uranium isotopic compositions in nuclear
facilities. Mass spectrometry (MS) is considered the “gold standard” for analysis of relatively longlived actinides such as uranium (U) and plutonium; however, conventional MS analysis often requires
time consuming sample preparation and complex analytical methodologies that are difficult to
perform in-field or in-facility. Matrix assisted ionization (MAI) is a novel ambient ionization MS
technique (i.e., MAI-MS) that potentially addresses these challenges due to the relative simplicity of
the ionization phenomenon and ruggedness of ambient MS instrumentation. Savannah River National
Laboratory (SRNL, USA) has demonstrated this technique for nanogram-level 235U/238U isotope ratio
measurements within seconds, with percent-level analytical uncertainties capable of discriminating
depleted, natural, and low-enriched uranium. Current experimental work on developing MAI methods
for uranium isotopic analysis has been enabled by parallel development of a comprehensive MAIMS data analysis suite at SRNL. Development of this bespoke data analysis software was necessary
because commercially available ambient MS software is poorly suited for uranium isotope ratio
measurement. The effort leverages the power of R, a popular open-source programming language,
and Shiny, an R package providing tools for graphical user interface (GUI) and web interface coding.
This software allows researchers without any programming experience to harness and utilize R’s
considerable data analysis/visualization power.