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Record W1516889029 · doi:10.1149/1.1857773

The Surfactant-Promoted Electroreduction of Oxygen to Hydrogen Peroxide

2005· article· en· W1516889029 on OpenAlexafffund
Előd Gyenge, Colin Oloman

Bibliographic record

VenueJournal of The Electrochemical Society · 2005
Typearticle
Languageen
FieldChemistry
TopicElectrochemical Analysis and Applications
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of British ColumbiaGovernment of Canada
KeywordsChemistryElectrochemistryPulmonary surfactantCathodeHydrogen peroxideInorganic chemistryDecompositionOxygenAliquat 336Acetic acidChromatographyElectrodeOrganic chemistry

Abstract

fetched live from OpenAlex

The two-electron reduction of at pH 3 (1 M acidified by glacial acetic acid) and 9.6 (mixture of 0.5 M and 0.5 M was investigated in flow-by electrochemical reactors with three-dimensional cathodes, consisting of graphite felt (GF) or reticulated vitreous carbon (RVC). The cathode was operated with co-current upward gas/liquid flow and pressures in the range of 200-700 kPa. A factorial design with four variables at two levels was employed to investigate the effects of superficial current density, liquid load, pressure, and cationic surfactant concentration [i.e., trioctylmethylammonium chloride (Aliquat® 336, A336)] on concentration, current efficiency, and reactor voltage. Among the investigated variables A336 exerted the strongest positive main effect on both concentration and current efficiency. The beneficial effect of A336 was due to suppression of the loss by both electroreduction and surface-catalyzed decomposition. However, A336 increased the pressure gradient through GF by up to 100%. The surfactant effect on the pressure gradient was estimated using the Herbolzheimer-Park model for the influence of surfactant on the motion of gas bubbles in liquid-filled capillaries. An mass-transfer model in both GF and RVC was developed and correlated with the experimental results. © 2005 The Electrochemical Society. All rights reserved.

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 score0.018
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
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 head0.006
GPT teacher head0.224
Teacher spread0.219 · 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

Citations19
Published2005
Admission routes2
Has abstractyes

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