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Record W1981261885 · doi:10.1149/1.3565513

Polypyrrole/Poly(Methylene Blue) Composite Electrode Films on Stainless Steel

2011· article· en· W1981261885 on OpenAlexafffund
Jonathan M. Godwin, Richard W. Evitts

Bibliographic record

VenueECS Transactions · 2011
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPolypyrroleMaterials scienceDielectric spectroscopyConductive polymerPassivationPolymerizationMethylene blueElectrodeChemical engineeringRedoxCorrosionElectrochemistryAqueous solutionPolymerPolymer chemistryLayer (electronics)Composite materialChemistryOrganic chemistryMetallurgy

Abstract

fetched live from OpenAlex

Polymerized methylene blue films have been shown to be efficient electron mediators for biological redox compounds. Previously these films have been deposited on noble metal and carbon substrates. In this work, methylene blue has been polymerized on stainless steel by first applying a layer of an electronically conductive polymer to inhibit passivation or corrosion of the metal and to increase the active surface area. The redox activity of the resulting electrodes has been examined by electrochemical impedance spectroscopy and fit to an equivalent circuit model for conductive polymers. The film with methylene blue shows a large decrease in charge transfer resistance, from 130 Ω to 15 Ω, when compared to the bare polypyrrole film. The stability of the films was studied by measuring the impedance changes over time when stored in aqueous solutions. Degradation of the films was found to depend mostly on the doping ion used in the polypyrrole synthesis. NADH oxidation was also measured at different concentrations by CV.

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 categoriesInsufficient payload (model declined to judge)
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 score0.060
Threshold uncertainty score0.998

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)0.0030.000

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 head0.031
GPT teacher head0.250
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.

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

Citations6
Published2011
Admission routes2
Has abstractyes

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