Molecular and Macroscopic Considerations for Degradable Aliphatic Polyester Biomaterial Design
Bibliographic record
Abstract
Degradable aliphatic polyesters (DAPs) are integral materials for the design of resorbable medical devices including resorbable sutures, drug delivery depots, and temporary tissue growth supports. The clinical application of DAPs is due to their ability to resorb over a therapeutic window. Control over resorption rates is defined by material properties, which inform the selection of a formulation for specific applications. This review examines the synthesis and degradation behavior of DAPs for biomedical applications. We focus on copolymer DAPs, which offer promising opportunities to tailor resorption by strategically incorporating diverse α,ω-dicarboxylic acid and α,ω-diol monomers. We analyze the molecular and macroscopic factors influencing hydrolytic degradation, correlating these to the copolymer composition. We highlight emerging approaches for assessing degradation behavior through efficient techniques and real-time monitoring capabilities. Material property-informed DAP innovation offers a strategy for improved resorbable device performance tailored for specific biomedical applications.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".