Poly(ethylene glycol) as a compatibilizer and plasticizer of poly(lactic acid)/clay nanocomposites
Bibliographic record
Abstract
Nanocomposites of poly(lactic acid), PLA, and poly(lactic acid)/poly(ethylene glycol), PLA/PEG, with clay modified with methyl-bis(2-hydroxyethyl) tallow alkyl ammonium cations (Cloisite 30B) were prepared by melt-blending methods. The influence of PEG content on the structure and thermal properties of nanocomposites was investigated. Comparative samples of the PLA/PEG blends with different PEG content were also considered. X-ray diffraction (XRD), transmission electron microscopy (TEM), scanning electron microscopy (SEM), thermogravimetric analysis (TGA) and differential scanning calorimetric (DSC) were used to characterize the studied samples. From XRD, SEM and TEM results, it can be concluded that PEG molecules co-intercalate the silicate layers of Cloisite 30B, together with PLA, allowing better parallel stacking of the silicate layers and the interaction between them. The decrease in the glass transition temperature and crystallization temperature of PLA nanocomposites with an increase in the PEG content, showed the double role of PEG as a plasticizer and as a compatibilizer during the preparation of PLA nanocomposites.
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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".