Cyclodextrin-based biodegradable polymer stars: synthesis and fluorescence studies
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
Polymer stars built using aliphatic polyester arms and a β-cyclodextrin (β-CD) core are prepared by two synthetic methodologies. The CD core stars offer the intriguing potential of loading molecules of interest into two zones by exploiting the host–guest chemistry of the hydrophobic CD core and by physical trapping in the polymer arms. Core-first syntheses were achieved through the ring-opening polymerization of rac-lactide, l-lactide, β-butyrolactone and lactide/glycolide monomers generating seven-armed stars with a heptakis(2,6-di-O-methyl)-β-CD core. Arm-first syntheses were achieved through the copper-catalyzed azide-alkyne cycloaddition of alkyne-terminated poly(lactic acid)s, poly(3-hydroxybutyrate) and a heptakis-azido-β-CD. For both synthetic strategies, use of the industry standard catalyst, Sn(Oct) 2 , gave polymers with broadened dispersities (1·3–1·7) when compared to aluminum complexes supported by salen ligands (<1·2). Synthetic strategies were compared by both measures of reaction control (molecular weight, dispersity, conversion) and controlled release (fluorescence spectroscopy of hydrolytic and enzymatic degradation), each offering benefits to the synthetic polymer chemistry, variable sustainability and scalability and a clear direction for further star design. Fluorescence-based controlled release studies were performed in water or methanol, releasing the encapsulated 7-methoxycoumarin fluorescent probe through both hydrolytic and enzymatic degradation. The release was shown to be strongly accelerated in the presence of the enzyme. This article contains supporting information that will be made available online once the issue is published.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.005 | 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 it