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Record W1963679919 · doi:10.1039/b918915g

Diazonium-induced anchoring process: an application to improve the monovalent selectivity of cation exchange membranes

2010· article· en· W1963679919 on OpenAlexaff
Xuan Tuan Le, Pascal Viel, Pascale Jégou, Alexandre Garcia, Thomas Berthelot, Thi Hao Bui, Serge Palacin

Bibliographic record

VenueJournal of Materials Chemistry · 2010
Typearticle
Languageen
FieldEngineering
TopicFuel Cells and Related Materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsMembraneElectrodialysisSelectivityPolyanilineInorganic chemistryChemistryDivalentIon exchangeProtonationSulfuric acidSurface modificationChemical engineeringPolymerIonOrganic chemistryPolymerizationCatalysisPhysical chemistry

Abstract

fetched live from OpenAlex

An efficient and one-step chemical process (diazonium-induced anchoring process) to graft covalently a thin polyaniline-like layer on the surface of the Selemion CMV commercial cation exchange membrane is reported. SEM, IR and XPS techniques were used to characterize the obtained polymer film. The ability of such a surface modification layer to improve the membrane selectivity for hydrogen ions was confirmed by means of electrodialysis test. In contact with a mixed solution of sulfuric acid and metallic divalent salts, the protonation reaction of the polyaniline-like layer creates positive charges, thus leading to an electrical repulsion barrier which may reduce the penetration of divalent cations with respect to hydrogen ions. The ion exchange capacity, the membrane conductivity as well as the competitive transport of nickel and proton ions inside the modified membrane are discussed in detail in comparison with those of the bare membrane.

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 score0.001
Threshold uncertainty score0.002

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.223
Teacher spread0.218 · 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

Citations78
Published2010
Admission routes1
Has abstractyes

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