Engineered polysaccharide alpha‐1,3‐glucan in highly filled thermoplastic polyurethane systems
Bibliographic record
Abstract
Abstract This study explores the use of α‐1,3‐glucan, which can be produced through an enzymatic polymerization process, as additive for thermoplastic polyurethane composite systems. Most importantly, highly filled thermoplastic polyurethane composites can be achieved with up to 80% by weight polysaccharide content. Analysis of mechanical properties demonstrates that strength and modulus can be significantly improved, while the plasticizer content allows for adjustments of compound flexibility. The addition of 60% α‐1,3‐glucan increased the flexural modulus of the thermoplastic polyurethane by 497% while adding 80% α‐1,3‐glucan increased the flexural modulus by 3193%. Citrate esters can be incorporated as plasticizer to improve processibility and flexibility of the compounds. An increase in impact strength of 55% was achieved when 10% of tributyl citrate was added to the 80% α‐1,3‐glucan composite. Based on the compatibility and property enhancements, the use of these engineered polysaccharides may provide additional options for producing sustainable composite materials with high renewable content and unique properties.
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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".