A Robust Polybenzoxazine/SiO<sub>2</sub> Fabric with Superhydrophobicity for High-Flux Oil/Water Separation
Bibliographic record
Abstract
In this study, a fully biobased benzoxazine monomer (E-s) was combined with SiO 2 nanoparticles to construct superhydrophobic/superoleophilic coatings on polyethylene terephthalate fabrics by spray coating and thermal curing. The resulting PE-s/SiO 2 0.2 fabric possessed special wettability with a water contact angle of 156.2 ± 1.5° and a sliding angle of 5.2 ± 1.0°, and it exhibited great adhesion strength under ultrasonication. Furthermore, PE-s/SiO 2 0.2 fabrics achieved ultrafast and efficient separation with average oil fluxes of around 45,000 L/m 2 h and separation efficiencies over 93% for several oil/water mixtures. In addition, PE-s/SiO 2 0.2 fabrics showed strong durability under several types of harsh treatment. Both their superwettability and separation performance were steadily preserved after immersion in acidic/alkaline solutions with pH values of 1–11 for 1 h, solvent immersion for 100 h, and 44 cycles of abrasion. Finally, a simple rinsing operation was explored to clean polluted PE-s/SiO 2 0.2 fabrics.
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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".