Synthesis of a novel photocatalyst, ZnBiVO<sub>4</sub>, for the photodecomposition of H<sub>2</sub>S
Bibliographic record
Abstract
A novel metal-oxide photocatalyst, ZnBiVO4, was investigated for the photodecomposition of hydrogen sulfide. ZnBiVO4 was prepared using the solid-state method, as well as a solution route for the first time. Oxides of zinc, bismuth, and vanadium were used for the solid-state method, whereas the respective metal salts were used as precursors for the solution route synthesis. The microstructure of the newly prepared ZnBiVO4 was examined using XRD and FESEM. Tetragonal and monoclinic crystallite systems were observed in this ternary oxide system. Nanocrystalline ZnBiVO4 was obtained through the solution route. The catalyst was also characterized using UVvisible diffuse reflectance spectroscopy to evaluate its band gap. Photodecomposition of H2S using this catalyst was observed for the first time. The influence of preparation methods on the photocatalytic activity of ZnBiVO4 was examined and it was observed that the ZnBiVO4 prepared by the solution route led to a higher photocatalytic activity during H2S decomposition. It is noteworthy that the hydrogen evolution was enhanced by 100% using ZnBiVO4 prepared by the solution route as compared with the ZnBiVO4 prepared by the solid-state method.Key words: photocatalyst, ZnBiVO4, hydrogen sulfide, metal oxide, photodecomposition.
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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".