The MoRe Isotopes Project: Production of high specific activity Mo-99 via isotope separation
Bibliographic record
Abstract
1485 Objectives The MoRe project is developing a high power, off-line isotope separator capable of producing large quantities of Mo-99 at high specific activity from feedstock produced via 98Mo(n,γ) and/or 100Mo(γ,n) routes. Methods A high power ion source coupled to a high resolution dipole magnet will be used to generate beams of molybdenum ions and separate the respective isotopes with the aim of producing Mo-99 with specific activity greater than 1,000 Ci/g. The feedstock for the separator system will be low specific activity Mo-99 generated from thermal neutron capture on Mo-98 or photon induced neutron emission on Mo-100. This approach may allow the use of existing reactors to produce commercial quantities of Mo-99 while eliminating the need to use highly enriched uranium-235 (HEU) targets or incurring expense of converting facilities to use LEU targets. Results Preliminary proof of principle experiments have demonstrated the feasibility of generating intense Mo ion beams. Construction of an ion source test facility incorporating all of the elements of the separator system is underway with the expectation that sufficient beam current and ionization efficiency can be achieved in order to demonstrate the feasibility of using this device for producing commercial quality and quantities of Mo-99. Conclusions The proposed system will have several advantages compared to other proposed solutions: (1) the Mo-99 produced will fit directly into the existing commercial Tc-99m generator supply chain, (2) the elimination of HEU and LEU targets, (3) the system can be used to generate the required target material (Mo-98/Mo-100) during the separation process, (4) simplify production chemistry and (5) can be used in conjunction with a neutron or photon source to create a more robust distributed supply system, all at lower estimated cost than most of the proposed solutions to the medical isotope shortage crisis. Research Support Phases one of this research were supported by an NSERC I2I grant. The present work is supported by AAPS Inc
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".