A-BioHPG: A Hydrophilic Biodegradable and Hemocompatible Hyperbranched/Dendritic Polyketal Polyglycerol with Tunable Degradation
Bibliographic record
Abstract
Abstract We report the design and synthesis of a biodegradable hyperbranched polyether polyketal polyol, containing acid-labile ketal groups with controlled degradation, high water solubility, excellent hemocompatibility, and cell compatibility. For this, we have developed a new AB2-type acid-labile monomer, 2-((4-(2-(oxiran-2-ylmethoxy) ethoxy)tetrahydro-2H-pyran-4-yl)oxy)ethan-1-ol (OTPE). The OTPE monomer is copolymerized with glycidol through anionic ring-opening multibranching polymerization generating OTPE-incorporated hyperbranched polyglycerol (A-BioHPG) with varying degradable monomer content. Gel permeation chromatography assisted degradation studies indicated polymer stability at physiological pH, while controlled degradation is observed under acidic pH, and the data support the homogeneous distribution of the OTPE monomer throughout the polymer. The hemocompatibility of A-BioHPG is assessed by blood coagulation, platelet activation, red blood cell lysis and aggregation, and cell compatibility with endothelial cells. Our findings show that A-BioHPG is a promising candidate for use in multitude of biomedical applications, including but not limited to solubility enhancement, drug delivery, tissue engineering, and bioconjugation.
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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".