Surface-Functionalized Layered Double Hydroxides (LDHs) Nanoplatelets for Enhanced Thermal Stability of Plasticized Polyvinyl Chloride (PVC) films
Bibliographic record
Abstract
Surface and interfacial engineering of additives is crucial for enhancing the compatibility between inorganic additives and polymer matrices. Thermal stabilizers are particularly prevalent in polyvinyl chloride (PVC) compounding. Recently, layered double hydroxidehydroxide (LDH) structures have been explored as a new class of efficient and environmentally-friendly stabilizers. This study uses oleic acid (OA) as a bio-sourced surface-active agent for improved compatibility between MgAlZn-CO3 LDH and the PVC matrix. Scanning electron microscopy (SEM) results indicated that OA substantially influences the distribution of LDHs throughout PVC matrix. Additionally, Raman spectroscopy confirmed that the incorporation of OA enhances the HCl absorption capability of LDHs, leading to an over two-fold increase in the static thermal stability of PVC. Correspondingly, color stability of PVC compounds with the modified LDH also improves significantly. The surface-functionalized LDH developed in this work exhibits tremendous potential as a highly potent and yet environmentally-friendly stabilizer for PVC processing as well as for PVC recycling and its circular economy.
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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".