Fully Biodegradable and Biorenewable Ternary Blends from Polylactide, Poly(3-hydroxybutyrate-co-hydroxyvalerate) and Poly(butylene succinate) with Balanced Properties
Bibliographic record
Abstract
A ternary blend of entirely biodegradable polymers, namely polylactide (PLA), poly(3-hydroxybutyrate-co-hydroxyvalerate) (PHBV), and poly(butylene succinate) (PBS), was first melt-compounded in an effort to prepare novel fully biodegradable materials with an excellent balance of properties. The miscibility, morphology, thermal behavior, mechanical properties, and thermal resistance of the blends were investigated. DMA analysis revealed that PHBV and PLA showed some limited miscibility with each other, but PBS is immiscible with PLA or PHBV. Minor phase-separated structure was observed from SEM for all the blends composition except PHBV/PLA/PBS 60/30/10 blend, which formed a typical mixture of core-shell morphology. The morphologies were verified by analysis of the spreading coefficients. Excellent stiffness-toughness balance was achieved by ternary blends of PLA, PHBV, and PBS. Significant enhancement of the toughness and flexibility of PLA was achieved by the incorporation of PBS and PHBV without sacrificing the strength apparently. Both the stiffness and toughness were improved for PHBV in the ternary blends with PHBV as matrix. The crystallization of the PLA and PBS were enhanced by presence of PHBV in the blends, while the crystallization of PHBV was confined by PLA and PBS phases. Moreover, the thermal resistances and melt flow properties of the materials were also studied by analysis of the heat deflection temperature (HDT) and melt flow index (MFI) value in the work.
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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".