Synergistic CO2 Capture: NH2-Functionalized UiO-66 and DES-Choline-Chloride/Urea Impregnated Membranes
Bibliographic record
Abstract
Summary This research explores the development of mixed matrix membranes (MMMs) using NH2-functionalized UiO-66 and a novel deep eutectic solvent (DES) composed of choline chloride and urea for CO2 separation. DES, a promising alternative to ionic liquids, was synthesized and incorporated as a third component to mitigate filler agglomeration in the Pebax 1657 polymer matrix. The study investigated the effects of varying filler loadings (0–30 wt.%) on gas separation performance. Characterization via XRD, FTIR, and SEM confirmed successful synthesis and incorporation of MOFs and DES. The MMMs exhibited enhanced CO2 permeability and selectivity, particularly with NH2-UiO66-DES composites, showing selectivity increases of 53.4% for CO2/CH4 and 35.36% for CO2/N2. Additionally, the effects of temperature and CO2 concentration on separation performance were analyzed to assess the practical applicability of the membranes.
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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 | 0.000 | 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".