Lignin Reverse Micelles for UV-Absorbing and High Mechanical Performance Thermoplastics
Bibliographic record
Abstract
This work reports the preparation of a novel class of lignin reverse micelles (LRM) and their application as a UV-blocking additive for thermoplastics. It is found that when 7 vol % cyclohexane was added into alkali lignin (AL)/dioxane solution, LRM formed. When the cyclohexane amount increased, LRM tended to aggregate and separate from the solutions. LRM films had a water contact angle higher than 80°, in comparison to only 52° of the AL film control sample. Due to hydrophobicity, the miscibility of LRM with high density polyethylene (HDPE) was significantly improved from that of AL with HDPE. Since LRM retained the phenolic hydroxyl structure of AL, the HDPE/LRM samples showed an excellent UV-absorbing performance. Furthermore, the added LRM had little negative influence, but significantly improved the HDPE mechanical properties. With 5 wt % LRM loading, Young’s modulus increased from 1066 to 2104 MPa and the elongation at break increased from 671% to 1030%, respectively.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".