Rapid <sup>18</sup>F-Labeling and Loading of PEGylated Gold Nanoparticles for in Vivo Applications
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Water-soluble 3 nm maleimide-terminated PEGylated gold nanoparticles (maleimide-AuNP) were synthesized in both partially hydrolyzed and nonhydrolyzed forms. Both of these maleimide-AuNPs, when reacted with the silicon-fluorine prosthetic group [(18)F]SiFA-SH, resulted in radiolabeled AuNPs. These NPs were readily purified with high radiochemical yields (RCY) of 60-80% via size exclusion chromatography. Preliminary small animal positron emission tomography (PET) measurements in healthy rats gives information about the pathway of excretion and the stability of the radioactive label in vivo. The partially hydrolyzed [(18)F]SiFA-maleimide-AuNPs shows uptake in the brain region of interest (ROI) (> 0.13%ID/g) which was confirmed by ex vivo examination of the thoroughly perfused rat brain. The multiple maleimide end groups on the AuNP surface also allows for the simultaneous incorporation of [(18)F]SiFA-SH and a bioactive peptide (cysteine-modified octreotate, cys-TATE, which can bind to somatostatin receptor subtypes 2 and 5) in a proof-of-concept study. The well-defined Michael addition reaction between various thiol containing molecules and the multifunctionalized maleimide-AuNPs thus offers an opportunity to develop a new bioconjugation platform for new diagnostics as well as therapeutics.
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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 it