Morphology and Performance Relationship Studies on Poly(3-hydroxybutyrate-<i>co</i>-3-hydroxyvalerate)/Poly(butylene adipate-<i>co</i>-terephthalate)-Based Biodegradable Blends
Bibliographic record
Abstract
-terephthalate) (PBAT) blends hold great potential for use in sustainable packaging applications for their advanced performance. Understanding the structure-property relationship in the blends at various proportions is significantly important for their future application, which is addressed in this work. The study found that the inherent brittleness of PHBV can only be modified with the addition of 50 wt % PBAT, where co-continuous structures formed in the blend as revealed by scanning electron microscopy (SEM) analysis. The elongation at break (%) of the blends increased from 3.81 (30% PBAT) to 138.5% (50% PBAT) and 345.3% (70 wt % PBAT), respectively. The fibrous structures of the PBAT formed during breaking are beneficial for energy dissipation, which greatly increased the toughness of the blends. Both the SEM observation and glass-transition temperature study by dynamic mechanical analysis indicated that the PHBV and PBAT are naturally immiscible. However, by simply mixing the two polymers with different composition ratios, the properties including melt flow index, heat deflection temperature, and mechanical properties can be tailored for different processing methods and applications. Our research work herein illustrates the fundamental structure-property relationship in this popular blend of PHBV/PBAT, aiming to guide the future modification direction in improving their properties and realizing their commercial applications in different scenarios.
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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) | 0.001 | 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".