Synthesis and Characterization of Fe_2O_3/La_2O_3/CNTs Catalyst for Water Treatment with Microwave Technology
Bibliographic record
Abstract
Carbon nanotubes-supported Fe2O3/La2O3 catalysts are synthesized by chemical liquid deposition-microwave irradiation, using Fe(OH)3 and La(OH)3 as iron and lanthanum sources. Pure alcohol is added to disperse the HNO3 pretreated carbon nanotubes. Fe3+ and La3+ are added respectively. After the samples are irradiated, the catalysts are characterized by TEM, XRD, XPS, and are applied in the treatment of high concentration phenol wastewater, by microwave enhanced catalytic wet oxidation. In simulating the treatment of phenol wastewater, at the concentration of 5000 mg/L, the optimal treatment conditions are as follows: the microwave power is 700W, the irradiation time is 5min, the microwave working pressure is 0.4 MPa, the catalyst concentration is 0.125～2.5g/L, the H2O2 concentration is 25g/L and the pH of the system is equal to or below 8.0. The removal rate of phenol in the water reaches 80%.
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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".