MétaCan
Menu
Back to cohort
Record W2038370064 · doi:10.1063/1.2138373

Surface-plasmon resonance sensing of alcohol with electrodeposited polythiophene and gold nanoparticle-oligothiophene films

2005· article· en· W2038370064 on OpenAlexafffund
Bryan C. Sih, Michael O. Wolf, David Jarvis, Jeff F. Young

Bibliographic record

VenueJournal of Applied Physics · 2005
Typearticle
Languageen
FieldEngineering
TopicPlasmonic and Surface Plasmon Research
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPolythiopheneSurface plasmon resonanceMaterials scienceNanoparticleDielectricColloidal goldSurface plasmonThin filmMethanolPlasmonTolueneChemical engineeringAnalytical Chemistry (journal)NanotechnologyOptoelectronicsOrganic chemistryChemistryConductive polymerPolymerComposite material

Abstract

fetched live from OpenAlex

Electrodeposited films of polythiophene or gold nanoparticles (NPs) capped with conjugated oligothiophenes prepared on thin gold films are employed in a Kretschmann-type surface-plasmon resonance detector. The polythiophene films selectively respond to alcohol (ethanol or methanol) and toluene vapors but not to hexanes or water vapors, while the nanoparticle/oligothiophene films respond only to alcohol vapors of the solvents tested. For both films, the response to vapors consisted of the minimum in the reflectance curve (θ0) shifting to a higher angle as the thickness of the film increased. Slight increases in dielectric constant were also observed. The NPs do not result in an enhancement in sensitivity, contrary to theoretical predictions that suggest greater sensitivity may be achieved due to localized surface-plasmon effects associated with the presence of the Au NPs in the dielectric.

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 score0.143
Threshold uncertainty score0.729

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 head0.217
Teacher spread0.207 · 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

Explore more

Same venueJournal of Applied PhysicsSame topicPlasmonic and Surface Plasmon ResearchFrench-language works237,207