Photocatalytic Hydrodechlorination of Trace Carbon Tetrachloride (CCl<sub>4</sub>) in Aqueous Medium
Bibliographic record
Abstract
The technical feasibility of the photocatalytic hydrodechlorination of CCl 4 utilizing H 2 produced in situ from photocatalytic water splitting was investigated using multifunctional Pd–NiO/NaTaO 3:La catalysts and a O/NaTaO 3:La + Pd–Au/IX (ion-exchange resin) mixture-of-catalysts approach. In the former case, the incorporation of Pd into the water-splitting photocatalyst resulted in the reduction of H 2 evolution by 3 orders of magnitude. However, the multifunctional catalyst exhibited a remarkable activity for CCl 4 removal. The important catalyst parameters were elucidated by the response surface methodology. The Ni and Pd loadings and the catalyst reduction temperature had significant, nonlinear effects on the catalyst activity, indicating that both NiO and Pd nanoparticles play important roles in the photocatalytic hydrodechlorination of CCl 4 . The strong dependence of the turnover frequency on the catalyst parameters that govern the dispersion of the catalytic phases implies that the reaction is structure-sensitive.
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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".