Highly Active CaO-Based Sorbents for CO<sub>2</sub> Capture Using the Precipitation Method: Preparation and Characterization of the Sorbent Powder
Why this work is in the frame
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Bibliographic record
Abstract
Calcium oxide is a known adsorbent for the capture of carbon dioxide. In this study, CaO-based sorbents were prepared using the precipitation of solutions containing different anion precursors, including nitrate NO 3 – and chloride Cl –, by different alkaline precipitants. The sorbents prepared from the precipitation of salt solutions by alkaline solutions under specific precipitation conditions resulted in the excellent uptake capacity for CO 2 . These sorbents formed as a fine powder with a BET surface area (16.5 m 2 /g) and pore volume (0.35 cm 3 /g) showed almost 100% carbonation, at temperatures between 650 and 750 °C. Moreover, the carbonation proceeded predominantly during an initial short period. Under numerous carbonation/calcination cycles, these sorbents demonstrated a good reversibility. During a 17-cycle operation, the sorbents maintained a fairly high conversion of 70% at 700 °C. As the carbonation/calcination cycles progress, sorbent particles conglomerate to a loosely integrated lump resulting in a greater mass transfer resistance for CO 2 molecules to reach the unreacted core of calcium oxide. It is observed that grinding of the formed chunk to fine particles could recover the activity of sorbent completely.
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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 | 0.000 |
| 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 | 0.001 |
| 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 it