The effect of sterilization procedures on the physiochemical properties and performance of plasma polymer films
Bibliographic record
Abstract
Sterilization procedures can alter the desirable characteristics brought by plasma polymerization. Different plasma‐deposited functional organic coatings are prepared by plasma co‐polymerization of binary gas mixtures constituted of a hydrocarbon (butadiene/ethylene) and a heteroatom containing gas (carbon dioxide/ammonia/hydrogen sulfide). These coatings are then treated by dry heating, autoclaving, ethylene oxide, UV, and gamma‐ray irradiation. The physio‐chemical properties and performance of the samples are evaluated by profilometry, water contact angle goniometry, XPS, and 1‐h adhesion tests with U937 cells before and after sterilization. The results reveal that the changes during these sterilization processes are dependent on the type of plasma polymer and on the sterilization method. We derive recommendations on the suitability of the sterilization methods for the different coatings.
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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 | 0.001 |
| 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".