CuO Nanosheets Modified with Amine and Thiol Grafting for High Catalytic and Antibacterial Activities
Bibliographic record
Abstract
The aim of the present study is to develop an ecofriendly and cost-effective method for the synthesis and functionalization of copper oxide (CuO) nanosheets by chemical grafting of 3-(chloropropyl)triethoxysilane (ClPTES), p -aminothiophenol (ATP) and diethanolamine (DEA). Full characterization of the resulting materials through FTIR, X-ray diffraction (XRD), scanning–transmission electron microscopy (STEM) and energy-dispersive X-ray fluorescence (ED-XRF) allowed confirmation of the grafting of ClPTES, ATP, DEA, and CuO crystalline phase and assessment of the average size of the as-prepared CuO (500 nm) and its high purity, respectively. Cu functionalization was found to confer high catalytic activity in 4-nitrophenol (4-NP) reduction into 4-aminophenol (4-AP), methylene blue (MB) degradation, and decomposition of their mixture. Besides, DEA- and ATP-modified CuO also exhibited appreciable antibacterial capacity against Staphylococcus epidermidis and Escherichia coli . These results are of great importance because they provide the proof-of-concept that judicious modifications of mere CuO nanosheets provide low-cost polyfunctional materials with potential uses in catalysis and biomedical applications.
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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) | 0.000 | 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 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".