Synthesis of Fluorine-18 Labelled Radiotracers for Positron Emission Tomography
Bibliographic record
Abstract
This work improved the radiosynthesis of a known M2 muscarinic receptor imaging agent, [18F]FP-TZTP, and subsequent syntheses and in vitro evaluation of several novel TZTP derivatives highlighted a lead compound which exhibited M4 potency and selectivity, the thioether fluoro-polyethyleneglycol, which was then adapted for radiolabelling (23% radiochemical yield (uncorrected), >99% radiochemical purity, reaction time of 37 minutes). The present study also seeked to utilize aziridines as intermediates in [18F]-radiolabelling chemistry for the facile radiosynthesis of [18F]-labelled beta-blockers. Novel [18F]-labelled amines were synthesized via ring-opening and deprotection to yield the [18F]-1-fluoro-2-propanamine moiety (85%) favourably over the regioisomer [18F]-2-fluoro-1-propanamine (15%). Subsequent attempts to use these amine synthons in the synthesis of the beta-blocker [18F]Exaprolol resulted in poor radiochemical yields (1-3%). The chemistry of aziridine ring-opening with 19F-fluoride sources was thoroughly explored in order to understand the fundamentals of this chemistry, and the 1-fluoro-2-propanamine moiety was characterized by X-ray crystallography and NMR spectroscopy.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".