A novel process for the treatment of steelmaking converter dust: Selective leaching and recovery of zinc sulfate and synthesis of iron oxides@HTCC photocatalysts by carbonizing carbohydrates
Why this work is in the frame
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Bibliographic record
Abstract
A large amount of converter dust (CD) is generated annually, posing serious environmental problems due to its zinc content. Moreover, zinc mainly exists in the form of inert ZnFe 2 O 4 in CD, which negatively affects the leaching efficiency of zinc. On the other hand, the photocatalytic activity of hydrothermal carbonation carbon (HTCC) is restricted by its wide bandgap, poor charge-transfer ability, and inconvenience of recycling. This work presents an oxygen pressure leaching method to selectively leach Zn from CD. In this process, not only the decomposition of ZnFe 2 O 4 is effectively promoted to increase zinc recovery, but also Fe 2+ in the solution is skillfully oxidized and hydrolyzed to solid Fe( OH )SO 4 . Under the optimum conditions, the leaching efficiency of zinc reached 98.8%, and 86.3% of iron remained in the leach residue, realizing the one-step separation of zinc and iron. Furthermore, the leach residue was successfully applied to synthesize a magnetically recyclable iron oxides@HTCC composite photocatalyst .
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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 it