Transport of Carbon Quantum Dots Across Bovine Blood Retina Barrier
Bibliographic record
Abstract
Tissue barriers limit the transport of drugs/imaging contract agents into the targeted site resulting in poor outcomes of diagnosis and therapeutic delivery. Carbon quantum dots (CQDs) have been applied as an alternative image contrast agent and theranostic carrier due to their special luminescent properties, versatile chemical modification, and good biocompatibility. The blood retina barrier (BRB) and the blood-brain barrier (BBB) has similar permeation and transport characteristics but is more readily available for study. Hence, this study investigates the transport of CQDs across the BRB using bovine eyes. CQD solution was added to the back of the bovine eye, and the photoluminescence in the neural retinal layer (NRL) and choroid layer (CL) before and after CQD treatment was measured. Under excitation (λex) at 430 nm, CQDs have a peak emission (λem) of 530 nm. In comparison, the NRL prior had no initial fluorescence. After treatment, there was one emission peak at 530 nm that corresponds with that of CQDs. In the CL, there were two pre-treatment emission peaks at 500 nm and 590 nm, with an additional peak at 530 nm after treatment. The results indicate that CQDs could cross the NRL into the CL and may have potential in crossing the BBB without any surface modification
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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) | 0.000 | 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 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".