Preparation and anti-biological adhesion performance evaluation of ZNO@PSBMA super hydrophilic coating
Bibliographic record
Abstract
In this study, zinc oxide (ZnO) nanoparticles were modified by means of dispersion using a γ-aminopropyl triethoxysilane coupling agent (KH550), obtaining KH550-ZnO. Then a certain amount of SBMA powder was put into the KH550-ZnO solution, and the ensuing polymerization reaction produced super hydrophilic PSBMA-KH550-ZnO powder. Finally, several polished aluminum sheets were immersed in the PSBMA-KH550-ZnO aqueous solution to start deposition. Upon completion of the deposition, the aluminum sheets were taken out and dried to obtain samples of the ZnO@PSBMA super hydrophilic coating. The structure, morphology and chemical composition of the powders and coatings were investigated by SEM, IR and EDS. The dispersion of KH550-ZnO in aqueous solution was analyzed. The results show that the particle size of KH550-ZnO decreases greatly in aqueous solution. The substrate can be superhydrophilic when deposited in PSBMA-KH550-ZnO aqueous solution for 130 minutes，After 48 hours of coating deposition, the compactness, roughness and friction resistance of the coating are greatly improved. ZnO@PSBMA superhydrophilic coating has good anti-protein, anti-bacterial and anti-algal adhesion properties.
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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 | 0.001 | 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) | 0.000 | 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".