Synthesis of a novel freestanding conjugated triazine-based microporous membrane through superacid-catalyzed polymerization for superior CO2 separation
Bibliographic record
Abstract
This study aims at developing a novel freestanding conjugated triazine-based membrane (ETM-1) with permanent porosity via a low-temperature superacid-promoted polymerization reaction. In this venue, we used the bifunctional 4-ethynylbenzonitrile (4-EBN) monomer featuring ethynyl (CCH) and nitrile (CN) functionalities. At the same time, trifluoromethanesulfonic acid (CF3SO3H) served as both the catalyst and solvent. The cross-linked Polymer's physicochemical properties were systematically examined using TGA, BET, solid-state 13C CP-MAS NMR, ATR-FT-IR, and XPS spectroscopy techniques. With conjugated s-triazine (as a result of cyclotrimerization of nitrile) and CCH (as a result of cationic polymerization of ethynyl), the microporous ETM-1 membrane displayed a superior CO2 uptake capacity of up to 3.87 mmol g−1 (170.3 mg g−1) and enhanced ideal CO2/N2 and CO2/CH4 permselectivity values of 47 ± 2 and 21 ± 1 at 298 K and 1 bar, respectively. The notable selectivity of ETM-1 towards CO2 can be stated in terms of the molecular sieving (i.e., kinetic selection) characteristic of the microporous membrane, its electron-rich π-conjugated skeleton, and enhanced basicity, suitable for interacting with CO2 via dipole-quadrupole and acid-base interactions. Moreover, ETM-1 exhibited the isosteric heat of CO2 adsorption ranging from 28.1 to 34.3 kJ mol−1, implying strong physisorption of CO2 upon the high-affinity adsorption sites of the membrane.
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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) | 0.000 | 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 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".