Isothermal versus Non-isothermal Adsorption−Desorption Cycling of Triamine-Grafted Pore-Expanded MCM-41 Mesoporous Silica for CO<sub>2</sub> Capture from Flue Gas
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
CO 2 adsorption−desorption isotherms for triamine-grafted pore-expanded mesoporous silica (TRI-PE-MCM-41) were measured up to 25 bar using the same adsorption and pretreatment temperatures at 298, 323, and 343 K and compared to CO 2 adsorption data for 13X zeolite, aminated metal organic framework (Zn-Atz MOF), and Darco activated carbon (Darco-AC). Cyclic isothermal adsorption−desorption measurements of pure CO 2 and a 10:90 CO 2 /N 2 mixture were carried out using vacuum swing (VS) and concentration swing (CS) regeneration modes at 298 and 343 K, in dry and humid conditions, and compared to cyclic non-isothermal desorption measurements, i.e., temperature swing (TS) and temperature-vacuum swing (TVS) regeneration operations. In addition to high CO 2 selectivity, it was found that, in comparison to the three other adsorbents, TRI-PE-MCM-41 exhibited higher CO 2 uptake in the presence of a 10:90 CO 2 /N 2 mixture in both dry and humid conditions. Cyclic experiments using VS regeneration mode at 343 K gave a similar CO 2 uptake as the TS regeneration mode. Similar to liquid-phase CO 2 absorption, SO 2 had a deleterious effect on CO 2 adsorption.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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