Synthesis of activated carbon from coffee husks and its effect on CO<SUB align="right">2 capture and CH<SUB align="right">4 and H<SUB align="right">2 storage
Bibliographic record
Abstract
This work presents the synthesis of activated carbons from coffee husk pre- treated with steam explosion. The influence of the impregnation ratio (H3PO4/precursor) and impregnation time was evaluated. The synthesised materials were characterised by N2 adsorption-desorption isotherms at 77 K and CO2 adsorption at 273 K, scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and Raman spectroscopy. These techniques confirmed the success of activated carbons from the coffee industry waste. Two selected activated carbons were further evaluated for their CO2, CH4, and H2 adsorption capacities at 308 K, 298 K, and 77 K, respectively, under pressures of up to 10 bar. CA-1 and CA-5 exhibited promising H2adsorption capacities, comparable to values reported. These findings open up new possibilities for developing porous carbon- based activated materials for advanced gas separation applications.
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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 | 0.000 | 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".