Synergy mechanism for <scp> TiO <sub>2</sub> </scp> /activated carbon composite material: Photocatalytic degradation of methylene blue solution
Bibliographic record
Abstract
Abstract To improve the photocatalytic effect of TiO 2 and the possibility of recycling, three different types of commercial activated carbon (AC) are used to prepare the TiO 2 /AC composite photocatalyst using the sol–gel method. The properties and catalytic activity of TiO 2 /AC composite are evaluated in comparison with bare TiO 2 , based on several characterization techniques and methylene blue (MB) photodegradation studies. The results show that the addition of AC improves the degradation effect of MB. The TiO 2 /AC‐(L) composite material has the best photocatalytic effect. The efficiency of removing the MB solution in 60 min reaches 99.43% at the initial concentration of MB 20 mg/L and material dosage 400 mg/L. The synergy between the adsorption characteristics of the AC surface and the photocatalytic activity of TiO 2 is the main reason for increasing the MB degradation rate. Hydroxyl radicals play a major role in the process of photocatalysis. The addition of AC enhances the formation of hydroxyl radicals and superoxide radicals, thereby improving the photocatalytic performance of the material. Compared with bare TiO 2 , the three TiO 2 /AC composite photocatalysts can maintain excellent photocatalytic effect after four cycles of experiments and are easier to recycle and reuse.
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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 | 0.000 | 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 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".