Impacts of future nuclear power generation on the international monitoring system.

Many countries are considering nuclear power as a means of reducing greenhouse gas emissions, and the IAEA (IAEA, 2022) has forecasted nuclear power growth rates up to 224% of the 2021 level by 2050. Nuclear power plants release trace quantities of radioxenon, an inert gas that is also monitored because it is released during nuclear explosive tests. To better understand how nuclear energy growth (and resulting Xe emissions) could affect a global nonproliferation architecture, we modeled daily releases of radioxenon isotopes used for nuclear explosion detection in the International Monitoring System (IMS) that is part of the Comprehensive Nuclear Test-Ban Treaty: 131mXe, 133Xe, 133mXe, and 135Xe to examine the change in the number of potential radioxenon detections as compared to the 2021 detection levels. If a 40-station IMS network is used, the potential detections of 133Xe in 2050 would range from 82% for the low-power scenario to 195% for the high-power scenario, compared to the detections in 2021. If an 80-station IMS network is used, the potential detections of 133Xe in 2050 would range from 83% of the 2021 detection rate for the low-power scenario to 209% for the high-power scenario. Essentially no detections of 131mXe and 133mXe are expected. The high growth scenario could lead to a 2.5-fold increase in 135Xe detections, but the total number of detections is still small (on the order of 1 detection per day in the entire network). The higher releases do not pose a health issue, but better automated methods to discriminate between radioactive xenon released from industrial sources and nuclear explosions will be needed to offset the higher workload for people who perform the monitoring.

Source Term Analysis of Xenon (STAX): An effort focused on differentiating man-made isotope production from nuclear explosions via stack monitoring.

An overview of the hardware and software developed for the Source Term Analysis of Xenon (STAX) project is presented which includes the data collection from two stack monitoring systems installed at medical isotope production facilities, infrastructure to transfer data to a central repository, and methods for sharing data from the repository with users. STAX is an experiment to collect radioxenon emission data from industrial nuclear facilities with the goal of developing a better understanding of the global radioxenon background and the effect industrial radioxenon releases have on nuclear explosion monitoring. A final goal of this work is to utilize collected data along with atmospheric transport modeling to calculate the contribution of a peak or set of peaks detected by the International Monitoring System (IMS) to provide desired discriminating information to the International Data Centre (IDC) and National Data Centers (NDCs). Types of data received from the STAX equipment are shown and collected data was used for a case study to predict radioxenon concentrations at two IMS stations closest to the Institute for RadioElements (IRE) in Belgium. The initial evaluation of results indicate that the data is very valuable to the nuclear explosion monitoring community.

First STAX detector installation at the National Institute for Radioelements (IRE).

The Source Term Analysis of Xenon (STAX) project has been installing stack detectors at medical isotope production facilities to measure radioxenon emissions to investigate the effect of radioxenon releases on nuclear explosion monitoring. This paper outlines the installation of the first STAX detection system at the National Institute for Radioelements (IRE) in Fleurus, Belgium which has been operating for over three years and transferring collected data to the STAX repository. Information about the equipment installed, the data flow established, and calculations for determination of radioxenon releases from the facility are presented. Data quality was investigated to confirm values reported by STAX automated data processing and in a comparison of collected STAX data with data collected by IRE for regulatory reporting.

Using STAX data to predict IMS radioxenon concentrations.

The noble gas collection and measurement stations in the International Monitoring System (IMS) are heavily influenced by releases from medical isotope production facilities. The ability to reliably model the movement of radioxenon from the points of release to these IMS samplers has improved enough that a routine aspect of the analysis of IMS radioxenon data should be the prediction of the effect of releases from industrial nuclear facilities on the sample concentrations. Predicted concentrations at IMS noble gas systems in Germany and Sweden based on measured releases from Institute for Radioelements (IRE) in Belgium and atmospheric transport modeling for a four-month period are presented and discussed.

Analysis of fuel using the Direct LSC method determination of bio-originated fuel in the presence of quenching.

A modified version of the Direct LSC method to correct for quenching effect was investigated for the determination of bio-originated fuel content in fuel samples produced from multiple biological starting materials. The modified method was found to be accurate in determining the percent bio-originated fuel to within 5% of the actual value for samples with quenching effects ≤43%. Analysis of highly quenched samples was possible when diluted with the exception of one sample with a 100% quenching effect.

Spatially tracking (13) C-labelled substrate (bicarbonate) accumulation in microbial communities using laser ablation isotope ratio mass spectrometry.

Microbial mats are characterized by extensive metabolic interactions, rapidly changing internal geochemical gradients, and prevalent microenvironments within tightly constrained physical structures. We present laser ablation isotope ratio mass spectrometry (LA-IRMS) as a culture-independent, spatially specific technology for tracking the accumulation of (13) C-labelled substrate into heterogeneous microbial mat communities. This study demonstrates the novel LA-IRMS approach by tracking labeled bicarbonate incorporation into a cyanobacteria-dominated microbial mat system. The spatial resolution of 50 µm was sufficient for distinguishing different mat strata and the approach effectively identified regions of greatest label incorporation. Sample preparation for LA-IRMS is straightforward and the spatial selectivity of LA-IRMS minimizes the volume of mat consumed, leaving material for complimentary analyses. We present analysis of DNA extracted from a sample post-ablation and suggest pigments, lipids or other biomarkers could similarly be extracted following ablation. LA-IRMS is well positioned to spatially resolve the accumulation of any (13) C-labelled substrate provided to a mat, making this a versatile tool for studying carbon transfer and interspecies exchanges within the limited spatial confines of such systems.

Abatement of xenon and iodine emissions from medical isotope production facilities.

The capability of the International Monitoring System (IMS) to detect xenon from underground nuclear explosions is dependent on the radioactive xenon background. Adding to the background, medical isotope production (MIP) by fission releases several important xenon isotopes including xenon-133 and iodine-133 that decays to xenon-133. The amount of xenon released from these facilities may be equivalent to or exceed that released from an underground nuclear explosion. Thus the release of gaseous fission products within days of irradiation makes it difficult to distinguish MIP emissions from a nuclear explosion. In addition, recent shortages in molybdenum-99 have created interest and investment opportunities to design and build new MIP facilities in the United States and throughout the world. Due to the potential increase in the number of MIP facilities, a discussion of abatement technologies provides insight into how the problem of emission control from MIP facilities can be tackled. A review of practices is provided to delineate methods useful for abatement of medical isotopes.

Procatalytic ligand strain. Ionization and perturbation of 8-nitroxanthine at the urate oxidase active site.

The binding of the inhibitor 8-nitroxanthine to urate oxidase has been investigated by Raman and UV-visible absorption spectroscopy. The absorption maximum of 8-nitroxanthine shifts from 380 to 400 nm upon binding to the enzyme, demonstrating that the electronic structure of the ligand is perturbed. It has been proposed that oxidation of the substrate urate by urate oxidase is facilitated by formation of the substrate dianion at the enzyme active site, and Raman spectra of urate oxidase-bound 8-nitroxanthine suggest that both the dianionic and monoanionic forms of the ligand are bound to the enzyme under conditions where in solution the monoanion is present exclusively. The C4-C5 stretching frequency appears as a relatively isolated vibrational mode in 8-nitroxanthine whose frequency shifts according to the protonation state of the purine ring. Identification of the C4-C5 stretching mode was confirmed using [4-(13)C]-8-nitroxanthine and ab initio calculation of the vibrational modes. Two peaks corresponding to the C4-C5 stretching mode were evident in spectra of enzyme-bound 8-nitroxanthine, at 1541 and 1486 cm(-)(1). The higher frequency peak was assigned to monoanionic 8-nitroxanthine, and the low-frequency peak was assigned to dianionic 8-nitroxanthine. The C4-C5 stretching frequency for free monoanionic 8-nitroxanthine was at 1545 cm(-)(1), indicating that the enzyme polarizes that bond when the ligand is bound. The C4-C5 stretching frequency in dianionic 8-nitroxanthine is also shifted by 4 cm(-)(1) to lower frequency upon binding. For 8-nitroxanthine free in solution, the C4-C5 stretching frequency shifts to lower frequency upon deprotonation, and the absorption maximum in the UV-visible spectrum shifts to higher wavelength. The spectral shifts observed upon binding of 8-nitroxanthine to urate oxidase are consistent with increased anionic character of the ligand, which is expected to promote catalysis in the reaction with the natural substrate urate. In the Raman spectra of 8-nitroxanthine bound to the F179A, F179Y, and K9M mutant proteins, the C4-C5 stretching frequency was not perturbed from its position for the unbound ligand. Both V(max) and V/K were decreased in the mutant enzymes, demonstrating a correlation between the interaction that perturbs the C4-C5 stretching frequency and the catalytic activity of the enzyme. It is suggested that hydrogen-bonding interactions that lead to precise positioning and deprotonation of the substrate are perturbed by the mutations.