Process validation for production of copper radioisotopes in a TR-19 variable energy cyclotron
Bibliographic record
Abstract
64Cu is a cyclotron-produced radionuclide suitable for positron emission tomography (PET) and internal radiotherapy. We have been focused on 64Cu radioisotope due to its favorable nuclear characteristics (β+ emission, 18% and β− emission, 39%). Moreover, the electron capture (43%) implies Auger electron emission with high linear energy transfer in the targeted cells. Also, the 12.7 hours half-life allows a good uptake and distribution of the radiopharmaceuticals to obtain qualitative images with high contrast. The production of no-carrier-added 64Cu via the 64Ni(p,n)64Cu nuclear reaction using a variable energy cyclotron (TR-19, ACSI, Canada) was studied in our work involving the implementation of a fully automated solid target irradiation and processing system. In this paper we report the validation of the process for the automated production and purification of 64Cu produced in a variable energy (14-19 MeV) cyclotron, using a commercially available automated solid target system (ALCEO, Comecer S.p.A, Italy), comprising modules for electrodeposition, pneumatic transfer, irradiation unit, dissolving and purification. The obtained 64CuCl2 solution complies with the requirements of a radiopharmaceutical for medical applications. The process is to be translated for production of other copper radioisotopes of medical interest.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".