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Record W4412003190 · doi:10.1021/acs.iecr.4c04598

Facilitated Olefin Transport in Swollen-State Membranes via Cost-Effective Silver Nanoparticles

2025· article· en· W4412003190 on OpenAlexfundno aff
Jinxuan Zhang, Xuezhen Wang

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2025
Typearticle
Languageen
FieldEngineering
TopicMembrane Separation and Gas Transport
Canadian institutionsnot available
FundersOntario Centre of Innovation
KeywordsOlefin fiberMembraneNanoparticleChemical engineeringState (computer science)ChemistrySilver nanoparticleMaterials scienceNanotechnologyOrganic chemistryComputer sciencePolymerEngineering

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.000
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.043
GPT teacher head0.307
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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