Size effect of mesoscopic‐scale silver particles on the adsorption capacity of silver/cotton for fuel oil desulphurization
Bibliographic record
Abstract
Thiophene and its derivatives in fuel oils, such as diesel, will be converted into SO x pollutants after combustion. Cotton is an inexpensive, sustainable biomass and a promising candidate for adsorbent supports because of its quasi‐one‐dimensional structure. Hence, we prepared silver/cotton adsorbents with silver loadings of 0.2, 0.8, and 4.3 wt% through a simple wet reduction method. Field emission scanning electron microscopy (FESEM) results show that when the silver loading was as high as 4.3 wt%, large silver aggregates were obtained; when the silver loading was as low as 0.2 wt%, small silver particles with diameters of ∼0.1 µm (mesoscopic scale) were primarily prepared. Static adsorption results demonstrated that the large silver aggregates were ineffective for the adsorption of thiophene, while the small silver particles showed an exceptional adsorption performance. At 30 °C, the highest thiophene adsorption capacity reached 10 mg/g on the 0.2 wt% silver/cotton adsorbent. The adsorption isotherm of the 0.2 wt% silver/cotton adsorbent was determined and exhibited a multi‐step trend. In addition, the bed pressure drop of the 0.2 wt% silver/cotton was determined to be 0.62 kPa/g, which was 26.0 % and 16.7 % of those of alumina and silica gel, respectively.
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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 | 0.001 |
| 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".