Separation of <sup>44m</sup>Sc/<sup>44g</sup>Sc Nuclear Isomers Based on After-Effects
Bibliographic record
Abstract
44g Sc presents a particular interest for application in nuclear medicine for positron emission tomography (PET) due to its favorable nuclear decay properties ( t 1/2 = 3.97 h, E max = 1.47 MeV, branching ratio 94.3% β + ). Its nuclear isomer 44m Sc ( t 1/2 = 58.61 h) decays by isomeric transition (IT) into 44g Sc, accompanied by ≈12% of conversion electron emission, which can cause a partial release of the daughter 44g Sc from the chelate complex. A 13 MeV cyclotron at TRIUMF was used to produce both 44m Sc and 44g Sc via the nat Ca(p,n) 44m,g Sc reaction. A 44m Sc/ 44g Sc generator was designed by using a Strata C-18E cartridge. After several tested systems, a successful separation method was developed using DOTATOC as a chelator, a Strata C-18E cartridge as a generator column, and an elution solution of 0.1 M NH 4 -α-HIB. The yield of the generator with the daughter 44g Sc release was equal to 9.8 ± 1.0% (or ≈80% per portion of conversion). This result shows the important role of after-effects in the design of radionuclide generators. Nuclear cross-section calculations were applied using the TALYS code to allow for the determination of the most promising alternative routes for 44m Sc production, which will enable the development of a full-scale 44m Sc/ 44g Sc radionuclide generator based on after-effects.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".