Preparation and Characterization of SrO/Cu2O for Phorocatalytic Oxidation of Diphenylamine under UV Light
Bibliographic record
Abstract
Generally cuprous oxide has higher photocatalytic activity in the visible region. It is widely applicable in the field of dye degradation. SrO/Cu2O nanocomposites were synthesized by sol-gel method and characterized using SEM, EDAX, AFM and particle size analyzer. SEM, EDAX, AFM and particle size analysis studies indicate that SrO/Cu2O composites are in nano-size range. The catalytic efficiency of nanocomposites was compared with commercial mixture of SrO/Cu2O photocatalyzed oxidation of diphenylamine (DPA) using UV light of wavelength 365 nm on SrO/Cu2O nanocomposites and SrO/Cu2O semiconductor mixture surfaces in ethanol yield N-phenyl-pbenzoquinonimine. The photocatalysis was examined as a function of (DPA), airflow rate and intensity of illumination. The photocatalytic studies revealed the sustainable photocatalytic efficiencies. The product formation was high with illumination at 254 nm than at 365 nm. Electron donors like triphenylphosphene, hydroquinone and tetraethylamine do not enhance the photo-oxidation. Both anionic and cationic surfactants favor photocatalysis. Vinyl monomers neither slowdown the photo-oxidation nor undergo polymerization. Singlet oxygen quencher azide ion does not suppress the photo-oxidation. Singlet oxygen generator enhances the photocatalysis. The catalytic efficiencies of nanocomposites were nearly four times higher than that of commercial mixture of SrO/Cu2O.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".