Y zeolite equilibrium catalyst waste from fluidized catalytic cracking regenerated by electrokinetic treatment: An adsorbent for sulphur and nitrogen compounds
Bibliographic record
Abstract
Abstract The adsorption of sulphur, nitrogen, and aromatic compounds on a regenerated equilibrium catalyst (ecat‐R) was studied using model and real diesel fuels. The ecat‐R was obtained by electrokinetic treatment of an equilibrium catalyst (Y zeolites) waste from fluidized catalytic cracking (FCC) units. The studied model diesel fuel contained dibenzothiophene (1039 mg/L), quinoline (600 mg/L), and naphthalene (600 mg/L), as models for sulphur, nitrogen, and aromatic compounds, respectively, in n ‐decane as solvent. The ecat‐R was characterized using X‐ray diffraction, X‐ray fluorescence, N 2 adsorption‐desorption, thermogravimetric and differential thermal analysis, scanning electron microscopy, Fourier‐transform infrared spectroscopy, and granulometry. The adsorption experiments were performed at 40 °C and 150 rpm. The results of the isotherm and a chemical kinetics studies were favourable; the material showed a high adsorption capacity for dibenzothiophene (2.8 mg S/g) and quinoline (6.3 mg N/g). The isotherm for naphthalene was less favourable (2 mg NAP/g). The process rapidly reached equilibrium in approximately 2 h. For real diesel fuel, the adsorption removal was 26 % for sulphur and 36 % for nitrogen.
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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 | 0.000 | 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 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".