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Record W2072386168 · doi:10.1021/jp107118y

Layer-by-Layer Characterization of a Model Biofuel Cell Anode by (in Situ) Vibrational Spectroscopy

2010· article· en· W2072386168 on OpenAlexafffund
Meikun Fan, Manuel Maréchal, Amanda Finn, David A. Harrington, Alexandre G. Brolo

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2010
Typearticle
Languageen
FieldEngineering
TopicElectrochemical sensors and biosensors
Canadian institutionsUniversity of Victoria
FundersBritish Columbia Knowledge Development FundNatural Sciences and Engineering Research Council of Canada
KeywordsCharacterization (materials science)AnodeLayer (electronics)In situMaterials scienceSpectroscopyChemical engineeringNanotechnologyChemistryElectrodeEngineeringPhysical chemistryOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

Polarization modulation infrared reflection absorption spectroscopy (PM-IRRAS) and (in situ) surface-enhanced (resonant) Raman scattering (SE(R)RS) were used as “quality control” tools during the construction of a model biofuel cell anode. The model anode was a layered structure formed by 4-hydroxythiophenol (HTP) attached to a coenzyme analog, cibacron blue F3G-A (CB), which then supported the adsorption of the enzyme formaldehyde dehydrogenase (FalDH). Ex situ SERS and PM-IRRAS showed the HTP attached to a gold surface through its thiol group. The covalent binding of CB to the HTP layer was confirmed by a combination of ex situ and in situ SERS data. In situ SERS spectra after adsorption of FalDH to the CB layer confirmed successful enzyme immobilization.

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 score0.003

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 integrity0.0000.000
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 head0.005
GPT teacher head0.201
Teacher spread0.197 · 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

Citations7
Published2010
Admission routes2
Has abstractyes

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Same venueThe Journal of Physical Chemistry CSame topicElectrochemical sensors and biosensorsFrench-language works237,207