Low‐temperature Fischer‐Tropsch synthesis using plasma‐synthesized nanometric Co/C and Fe/C catalysts
Bibliographic record
Abstract
Abstract In this study, two analogous nanometric catalysts consisting of carbon‐supported cobalt or iron (Co/C and Fe/C) were synthesized by plasma and tested for Fischer‐Tropsch synthesis (FTS) in a continuously‐stirred tank slurry reactor (CSTSR). Being pyrophoric in nature, these new materials were reduced in situ at 673 K (400 °C) for 24 h using pure H 2 gas. The FTS reaction was conducted at 493 K (220 °C), 2000 kPa pressure, and gas hourly space velocity (GHSV) of 3600 mL · for 24 h, using a feed stream of 0.6 L/L (60 vol %) H 2 and 0.3 L/L (30 vol %) CO, with 0.1 L/L (10 vol %) Ar for mass balance determination. Devoid of promoters and under similar reaction conditions, the Co/C catalyst showed higher CO conversion (42 %) than the Fe/C (25 %), benchmarked against the commercial Fe‐NanoCat ® (32 %). Co/C was more selective toward gasoline production, while Fe/C was more selective toward the diesel fraction. From transmission electron microscopy (TEM) analysis, no significant change in the mean particle size (∼12 nm) was observed in the plasma‐synthesized catalysts before and after FTS reaction, implying that the catalysts did not sinter. Additionally, there were no internal mass transport limitations in these catalysts, making them favourable for FTS. Besides metallic species, X‐ray diffraction (XRD) analysis indicated the presence of carbides in fresh catalysts (Fe 3 C in Fe/C and Co 3 C in Co/C). Magnetite (Fe 3 O 4 ) was the most prevalent phase in the used Fe‐NanoCat ® sample, a phase that was below the detection limits of XRD in the used plasma‐synthesized Fe/C sample.
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How this classification was reachedexpand
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".