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Record W2003243013 · doi:10.1021/jp002973r

Ion Exchange and Electron Transport at Methyl Viologen Y Modified Electrodes

2001· article· en· W2003243013 on OpenAlexaff
Tit‐Wah Hui, Mark D. Baker

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2001
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsDicationViologenChemistryCyclic voltammetryInorganic chemistryElectrochemistryElectrolyteIon exchangeNernst equationChronoamperometryIonAnalytical Chemistry (journal)ElectrodePhotochemistryPhysical chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Cyclic voltammetry and chronocoulometry were used to study reduction of the methyl viologen dication to the cation radical at zeolite-Y-modified electrodes. Shifts in half wave potential as a function of both scan rate and MV 2+ loading were shown to be due to a concentration overpotential produced by the ion exchange equilibrium at the zeolite-solution interface. Incorporation of the ion exchange-equilibrium constant for ion exchange between sodium cations and intrazeolite methyl viologen into the Nernst equation shows that equilibrium at the zeolite−solution interface is set up rapidly on the electrochemical time scale. Electron transport to the methyl viologen dication (MV 2+ ) is also shown to occur via an extrazeolite mechanism. The electrochemical reaction rate is controlled by diffusion of methyl viologen dications from zeolite Y rather than by incorporation of charge balancing cations from the electrolyte solution. Chronoamperometric data are discussed in terms of several plausible electron transport mechanisms including percolation, coupled electron hopping, and ion exchange. The latter agrees well with the experimental data and is in keeping with rate control for an ion-exchange step from a spherical zeolite particle.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.004
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

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 head0.010
GPT teacher head0.249
Teacher spread0.239 · 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.

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

Citations21
Published2001
Admission routes1
Has abstractyes

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