Nanoscale fletching of liquid-like polydimethylsiloxane with single perfluorocarbons enables sustainable oil-repellency
Bibliographic record
Abstract
Oil repellency is essential for enabling self-cleaning, anti-soiling and stain-repelling properties, which has broad application in industries liked textiles, healthcare and electronics. While per-and-polyfluoroalkyl substances (PFAS) exhibits strong oleophobicity, their environmental and health risks have led to prohibition on long-chain PFAS ( ≥ C8) and restriction on short-chain PFAS (C4, C6). However, there are few alternative materials demonstrating comparable oil repellency. Here, we introduce a novel method to fletch polydimethylsiloxane (PDMS) brushes with ultrashort PFAS (singe -CF3, the least toxic PFAS), achieving oil repellency similar to short-chain PFAS while drastically reducing the fluorine content. This work highlights that liquid-like molecular design, rather than chain length, can enable sustainable oil repellency, facilitating a smoother transition away from PFAS reliance. Oil repellency using polyfluoroalkyl substances are broadly applicable, though unfavorable due to high fluorine composition. Here the authors report a polydimethylsiloxane-based system using single CF3 groups affording oil repellency with low fluorine composition.
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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".