Applications of Pore-Expanded Mesoporous Silica. 2. Development of a High-Capacity, Water-Tolerant Adsorbent for CO<sub>2</sub>
Bibliographic record
Abstract
A novel high-capacity, water-tolerant adsorbent for CO 2 was developed. It consisted of diethanolamine (DEA) loaded pore-expanded MCM-41 silica (PE-MCM-41). Due to its very large pore volume, PE-MCM-41 silica was capable of accommodating a greater quantity of amine resulting in higher CO 2 adsorption capacity compared to the other supports including activated carbon, silica gel, and standard MCM-41 silica. Adsorption measurements were conducted by gravimetry using dry CO 2 to obtain uptake curves and apparent rate data. The capacity and uptake rate reached maxima with respect to amine content and then declined due to the deposition of excess amine on the particle's external surface and within the interparticle voids. At CO 2 partial pressures below 0.15 atm, the current DEA loaded PE-MCM-41 adsorbent was found to be superior to the more conventional zeolite 13X. Adsorption studies with humid CO 2 revealed that the adsorption capacity of the PE-MCM-41-based material was insensitive to the presence of moisture, which represents a major advantage over zeolite 13X. Repeated adsorption−desorption cycles revealed that our novel adsorbent exhibited good cyclic stability.
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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".