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Record W2643889530 · doi:10.1021/acs.iecr.7b01546

Embedding Molecular Amine Functionalized Polydopamine Submicroparticles into Polymeric Membrane for Carbon Capture

2017· article· en· W2643889530 on OpenAlexaff
Silu Chen, Tiantian Zhou, Hong Wu, Yingzhen Wu, Zhongyi Jiang

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2017
Typearticle
Languageen
FieldEngineering
TopicMembrane Separation and Gas Transport
Canadian institutionsUniversity of Waterloo
FundersNatural Science Foundation of Tianjin CityState Administration of Foreign Experts AffairsMinistry of Education of the People's Republic of ChinaNational Natural Science Foundation of China
KeywordsMembraneAmine gas treatingSelectivityChemical engineeringCatecholChemistryPolymerPolymer chemistryGraftingMaterials scienceOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

In this study, a facile and novel facilitated transport mixed matrix membrane (FT-MMM) was fabricated by incorporating molecular amine functionalized polydopamine (PDA) into Pebax MH 1657. Polydopamine submicroparticles were chemically modified by tetraethylenepentamine (TEPA). The catechol groups on PDA can react with amino groups through the Michael addition reaction and Schiff base reaction. Grafting molecular amines onto PDA submicroparticles can not only improve interfacial compatibility between the fillers and a polymeric matrix but also enhance the facilitated transport of CO 2 in the membrane because of the abundant CO 2 -philic groups. The effects of modified PDA submicroparticle content on the membrane permselectivity were investigated, and it was found that FT-MMM with a loading of 5% PDA submicroparticles exhibited the optimum CO 2 /CH 4 separation property under humid conditions. The selectivity of Pebax-PDA/TEPA(5) membrane was 27.5, about 1.5-fold higher than that of the pristine Pebax membrane under identical operating conditions, while the membrane permeability remained comparable. Furthermore, the effects of operating pressure and temperature on the membrane separation performance were evaluated as well.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.042
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
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 head0.057
GPT teacher head0.330
Teacher spread0.273 · 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 teacher head, not a consensus.

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

Citations27
Published2017
Admission routes1
Has abstractyes

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