An investigation into surface modification of polyethylene films for hydrophilicity enhancement by catalytic ozonation
Bibliographic record
Abstract
Abstract For a conventional polyethylene film, ozonation was conducted to increase its surface hydrophilicity. Copper sulfate was found effective as a catalyst in aqueous ozonation to increase the generation of surface peroxides significantly, which is the essential step for hydrophilicity enhancement. The percentage increase in peroxide generation could range from 41% to 58% by aqueous catalytic ozonation over its noncatalyzed gaseous counterpart. The optimum concentration of copper sulfate was found to be 0.05 g/L. After adding the catalyst, the length of ozonation could be significantly reduced so that the bulk mechanical strength of the films, represented by tensile strength, could be well preserved after ozonation. A novel kinetic model for the aqueous ozonation was proposed. This model was developed by combing the reaction mechanism of gaseous ozonation of polyethylene films with that of ozone self‐decomposition in water. The peroxide generation also increased with the applied ozone dose. The surface morphology and contact angle of the film were all examined before and after ozonation. © 2012 Wiley Periodicals, Inc. J. Appl. Polym. Sci., 2013
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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".