Novel Fluidizable K-Doped HAc-Li<sub>4</sub>SiO<sub>4</sub> Sorbent for CO<sub>2</sub> Capture Preparation and Characterization
Bibliographic record
Abstract
A novel fluidizable K-doped HAc-Li 4 SiO 4 sorbent using an incipient impregnation method was prepared in this work. The produced sorbent displayed an excellent CO 2 sorption capacity and stability under expected reaction conditions. Glacial acetic acid treatment was first used to modify the Li 4 SiO 4 sorbent microstructure. Following this step, an incipient impregnation method was applied to dope potassium onto the sorbent in order to further enhance the sorbent sorption capacity. This novel K-doped HAc-Li 4 SiO 4 sorbent was characterized using X-ray diffraction, N 2 adsorption–desorption, CO 2 temperature-programmed carbonation (CO 2 -TPC), and CO 2 temperature-programmed decarbonation (CO 2 -TPDC) analyses. The experimental results showed that the CO 2 sorption capacity of the K-doped HAc-Li 4 SiO 4 sorbent is approximately 100 cm 3 STP CO 2 /g sorbent. This was five times that of the Li 4 SiO 4 sorbent. Furthermore, the cyclic test of the K-doped HAc-Li 4 SiO 4 sorbent demonstrated it to be high and stable for CO 2 capture.
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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) | 0.001 | 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 | 0.001 | 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".