H<sub>2</sub>hox: Dual-Channel Oxine-Derived Acyclic Chelating Ligand for <sup>68</sup>Ga Radiopharmaceuticals
Bibliographic record
Abstract
An acyclic hexadentate oxine-derived chelating ligand, H 2 hox, was investigated as an alternative to current chelators for 68 Ga. The straightforward preparation of H 2 hox, involving only one or two steps, obviates the synthetic challenges associated with many reported 68 Ga chelators; it forms a Ga 3+ complex of great stability (log K = 34.4) with a remarkably high gallium scavenging ability (pGa 3+ = −log[Ga 3+ free ] = 28.3, ([Ga 3+ ] = 1 μM; [L x – ] = 10 μM; pH 7.4, and 25 °C)). Moreover, H 2 hox coordinates 68 Ga quantitatively in 5 min at room temperature in ligand concentrations as low as 1 × 10 –7 M, achieving an unprecedented high molar activity of 11 ± 1 mCi/nmol (407 ± 3.7 MBq/nmol) without purification, suggesting prospective kit-based convenience. [ 68 Ga(hox)] + showed no decomposition in a plasma challenge. Good in vivo stability and fast renal and hepatic clearance of the [ 68 Ga(hox)] + complex were demonstrated using dynamic positron emission tomography/computed tomography imaging. The intrinsic fluorescence of [Ga(hox)] + allowed for direct fluorescence imaging of cellular uptake and distribution, demonstrating the dual-channel detectability and intracellular stability of the metal complex.
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) | 0.000 | 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) | 0.001 | 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".