Bio-Based and Biodegradable Aliphatic Polyesters Modified by a Continuous Alcoholysis Reaction
Bibliographic record
Abstract
A novel approach was developed to chemically tailor biodegradable aliphatic polyesters such as polylactic acid (PLA) and polybutylene succinate (PBS) for targeted applications. The reactive extrusion process utilized a catalyzed alcoholysis reaction to controllably cut the aliphatic polyester polymer chains to the desired lengths. During this continuous reaction, aliphatic polyesters reacted with a solution of a diol or functionalized alcohol and a catalyst in melt phase, resulting in modified aliphatic polyesters with hydroxyalkyl chain ends or other functional chain ends useful for further reactions or modifications. Titanium propoxide and dibutyltin diacetate were used as catalysts for alcoholysis reactions of PLA and PBS respectively. It was found that by selectively controlling the alcoholysis conditions, the molecular weights and melt rheology of modified aliphatic polyester were modified to make them suitable for meltblown nonwoven processing. Meltblown nonwovens were successfully spun from both modified PLA and modified PBS, fiber-to-fiber bonding and excellent mechanical properties were achieved from the modified bio-based and biodegradable meltblown nonwoven.
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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 | 0.001 |
| 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".