Rapid Catalytic Recycling of Poly(ethylene terephthalate): Minimal Hydroxide, Minimal Biomass‐Derived Recyclable Cosolvent
Bibliographic record
Abstract
The rapid hydrolysis of poly(ethylene terephthalate) (PET) waste using sodium hydroxide, a phase transfer catalyst and furfuryl alcohol is demonstrated in 10 min at 98.5 °C. The cosolvent is biodegradable, available from biomass‐based sources and outperforms a range of commonly used protic and polar aprotic cosolvents. Such is the competence of the cosolvent for this purpose that waste is minimized—for the first time minimal hydroxide (2.1 eq.) is employed and the solvent volume is limited to just 3 mL g−1 PET (of which only 20% by weight is the organic component). It is found that the medium is compatible with phase transfer catalysis and a promoter incorporating aromatic units is superior (at 1 mol% loading) to previously optimal dimethyldialkylammonium halides. The medium can be recycled and reused after distillation at <100 °C, and furfuryl alcohol is also shown to serve as a cosolvent par excellence for the catalytic hydrolysis of poly(bis‐phenol A carbonate) waste from compact disks under literature conditions.
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.
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 | 0.000 |
| 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) | 0.001 | 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".