Biorecycling of polylactide: From enzymatic depolymerization to biotransformation of released products
Bibliographic record
Abstract
Abstract Polylactic acid (PLA) is a polymer that can replace several petroleum‐based polymers due to its properties and bio‐sourced nature. However, sustainable recycling processes of PLA avoiding the creation of waste and enabling it to be used as a raw material must be implemented. Enzymatic hydrolysis seems to be a promising way to recycle PLA. The different approaches that have led to the discovery of new PLA depolymerizing enzymes are reviewed here. Moreover, an overview of the various factors affecting enzymatic depolymerization of PLA have been done as well as the contribution of enzyme engineering in understanding the essential residues of these enzymes and improving their properties (e.g., thermostability and activity). Finally, enzymatic polymerization and biosynthesis of PLA from lactide or lactic acid have been reviewed to provide an overview of the various biotechnological approaches that could enable PLA to be completely recycled and remade.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".