Catalytic H<sub>2</sub>S Conversion and SO<sub>2</sub> Production over Iron Oxide and Iron Oxide/γ-Al<sub>2</sub>O<sub>3</sub> in Liquid Sulfur
Why this work is in the frame
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Bibliographic record
Abstract
A stirred-glass autoclave containing liquid sulfur and solid iron oxide catalyst was used to study low-tonnage sulfur recovery from H 2 S-containing gas streams. The objectives were to test the feasibility of using both liquid sulfur as a reaction medium and iron oxide as a direct oxidation catalyst for prolonged H 2 S conversion. Using a 1.60% H 2 S and 0.80% O 2 (balance N 2 ) feed gas, fresh iron oxide acted primarily as a scavenger for bulk H 2 S removal from the inlet gas stream. Following the scavenging phase, the steady-state iron oxide/sulfide was able to maintain low catalytic activity (30% conversion). The steady-state catalyst did, however, have a strong ability to generate significant amounts of SO 2 in the presence of inlet feed O 2 . Data showed that this SO 2 production resulted from the oxidation of the liquid sulfur over the steady-state iron oxide/sulfide. The rate of SO 2 formation was shown to be directly proportional to the concentration of O 2 in the inlet feed gas. Although H 2 S conversions over steady-state iron oxide/sulfide ended up being lower than expected, the ability to strictly control the amount of SO 2 generated from the system was advantageous. By incorporating γ-Al 2 O 3 into a liquid sulfur reactor containing steady-state iron oxide/sulfide, the dual-catalyst system achieved 97% conversion of the H 2 S to elemental sulfur.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.006 |
| 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