CO2 uptake – Relative humidity – Pore size relationship: A new tool for the design of amine-containing adsorbents
Bibliographic record
Abstract
• Synthesized periodic mesoporous silicas with 3 to 9 nm pore sizes, with similar morphology and amine loading. • Investigated the effect of pore size and relative humidity (RH) on CO2 uptake. • Impressive increase in CO2 uptake was achieved at vapor pressures corresponding to the water capillary condensation. • Maximum CO 2 uptake vs RH was pore-size dependent, allowing precise tailoring of adsorbents for feed gases with different RHs. Optimization of amine-containing CO 2 adsorbents, including CO 2 uptake, adsorption and desorption kinetics, energy requirements, and material stability, is a recurrent theme since the inception of this field. The objective of this work is (1) to establish a relationship between CO 2 uptake in amine-containing adsorbents as a function of relative humidity (RH) of feed gas and material pore size, and (2) to use this relationship to design adsorbents that maximize CO 2 uptake depending on RH. To this end, periodic mesoporous silicas with similar morphology and different pore sizes, ranging from 3 to 9.2 nm, are synthesized and grafted with comparable amounts of triaminosilane. All materials exhibit S-shaped water adsorption isotherms, with a steep rise as the water vapor reaches the capillary condensation pressure. All humid CO 2 adsorption isotherms versus RH, show prominent maxima at vapor pressures corresponding to the water capillary condensation. The enhanced CO 2 uptake at specific RHs is attributed to the occurrence of liquid-like water at capillary condensation pressure, which facilitates the formation of ammonium bicarbonate. Hence, maximum CO 2 uptake may be achieved using an adsorbent whose average pore size corresponds to the water capillary condensation at the feed gas RH.
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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 | 0.005 |
| 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 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".