Facilitated Olefin Transport in Swollen-State Membranes via Cost-Effective Silver Nanoparticles
Bibliographic record
Abstract
This work reports an efficient propylene/propane separation achieved by a swollen, facilitated transport nanocomposite membrane. This membrane is fabricated with cost-effective Ag NPs, derived from AgNO 3 as the precursor material, with a positive polarization introduced by 7,7,8,8-tetracyanoquinodimethane (TCNQ). The charged nanoparticle surface, combined with the chitosan matrix, contributes to a uniformly dispersed and well-stabilized distribution of the smaller Ag NPs. The moisture in the water-swollen membrane offered an ideal microenvironment for undocking counterions and migrating olefin molecules through reversible complexation. By optimizing the carrier and TCNQ weight ratio, the CS/AgNP/TCNQ membrane exhibits an outstanding separation performance, including a propylene permeability of 19.4 Barrer and an ideal selectivity of 56.6. The CS/AgNP/TCNQ membrane maintained its separation performance and stability in gas permeation for up to 120 h.
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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".