Cationic Lignin and Cellulose Fiber Incorporated Polyvinyl Alcohol Film
Bibliographic record
Abstract
ABSTRACT Polyvinyl alcohol (PVA) films are widely used in industry, but they have limitations in mechanical strength, UV‐blocking, and antibacterial performance. This research addresses these challenges by integrating kraft lignin (KL) derivative and cellulose fibers (CFs) into PVA films. The results confirmed that KL enhanced UV blocking and hydrophobicity, but it reduced porosity and water absorption. Cationic KL (CKL) further improved UV‐blocking, hydrophilicity, antibacterial properties, and decreased oxygen permeability of the films. CF in PVA enhanced UV‐blocking and mechanical properties. It also improved hydrophilicity, aiding water absorption in lignin‐containing PVA films. CF also increased Young's modulus, oxygen permeability, and antibacterial properties. A 5 wt.% concentration of CF significantly enhanced oxygen barrier properties and mechanical strength, even though it reduced UV‐blocking. These findings highlighted the positive impact of lignin and cellulose derivatives in PVA films. However, due to high water absorption, these films may not be suitable for food packaging requiring moisture resistance.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| 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 teacher head, 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".