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Record W2128846068 · doi:10.1117/1.3526729

Enhancement of luminescent quenching based oxygen sensing by gold nanoparticles: comparison between luminophore:matrix:nanoparticle thin films on glass and gold coated substrates

2010· article· en· W2128846068 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Nanophotonics · 2010
Typearticle
Languageen
FieldMaterials Science
TopicLuminescence and Fluorescent Materials
Canadian institutionsMcGill University
Fundersnot available
KeywordsLuminophoreLuminescenceQuenching (fluorescence)Materials scienceNanoparticleColloidal goldDetection limitNanotechnologyAnalytical Chemistry (journal)OptoelectronicsFluorescenceOpticsChemistryChromatography

Abstract

fetched live from OpenAlex

For weak luminescence, quenching of insensitive luminophores by proximity to a gold film improves signal to noise by suppression of background luminescence of Ru(4,7-diphenyl-1,10-anthroline)3Cl2. Initially it was expected that the effects of gold film quenching and nanoparticle enhanced luminescence could be combined to give a summative improvement, but the increase caused by the nanoparticles generates a larger signal to noise ratio and greater sensitivity of those luminophores to the dynamic quenching by gaseous oxygen. Impressive detection limits were achieved on gold coated glass and plain glass, where detection limit was 0.05% and 0.004% and sensitivity 0.02 and 0.05%, respectively.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.016
GPT teacher head0.269
Teacher spread0.253 · 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