Synthesis and Characterization of Co/C and Fe/C Nanocatalysts for Fischer–Tropsch Synthesis: A Comparative Study Using a Fixed-Bed Reactor
Bibliographic record
Abstract
Production of Fischer–Tropsch catalysts is challenging because it involves controlling and optimizing multiple parameters in numerous technical steps. Here, we present C-supported nanometric Fe and Co catalysts synthesized by plasma spraying, a method that contracts catalyst production into a single step, in contrast to traditional multistep catalyst production by precipitation or impregnation. The catalysts were reduced in situ and then tested for Fischer–Tropsch synthesis in a gas–solid fixed-bed reactor at 230 °C and 30-bar pressure for 24 h. The performance of plasma-synthesized catalysts was superior at a gas hourly space velocity of 6,000 mL·g cat –1 ·h –1, with Fe/C catalysts showing about 30% CO conversion per pass while Co/C catalysts yielded about 20% CO conversion. Identical C-supported Co and Fe catalysts prepared by impregnation or precipitation gave CO conversions of about 7% under similar reaction conditions.
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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 | 0.001 | 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".