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Record W2045974311 · doi:10.1021/jp101576h

Surface-Enhanced Raman and Fluorescence Spectroscopy of Dye Molecules Deposited on Nanostructured Gold Surfaces

2010· article· en· W2045974311 on OpenAlexaff
Alexandre Merlen, François Lagugné‐Labarthet, Etienne Harté

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2010
Typearticle
Languageen
FieldMaterials Science
TopicGold and Silver Nanoparticles Synthesis and Applications
Canadian institutionsWestern University
Fundersnot available
KeywordsRhodamine 6GPhotobleachingRaman scatteringRaman spectroscopyFluorescenceMaterials scienceSurface-enhanced Raman spectroscopyMoleculeSpectroscopyRhodaminePhotochemistryAnalytical Chemistry (journal)Rhodamine BChemistryOpticsOrganic chemistry

Abstract

fetched live from OpenAlex

Nanostructured gold surfaces were prepared over silicon and glass surfaces using evaporation and sputtering techniques, respectively. The surface enhanced Raman scattering (SERS) activity of these surfaces was investigated for dye molecules such as Methylene Blue and Rhodamine 6G using excitation wavelengths of 532 and 632.8 nm. Our results clearly emphasize that the SERS signal strongly depends on the nature of the surface and is further amplified under electronic resonance conditions. In addition, time-dependent spectral collection of the SERS and the surface-enhanced fluorescence (SEF) of Rhodamine 6G signals were obtained and showed similar behavior that could be fitted using a multiexponential model. This suggests a similar photobleaching mechanism for both SERS and SEF signals. We suggest that the study of molecules photostability under enhanced electromagnetic field should be extremely interesting for the further development of optical near-field spectroscopy.

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 score0.002
Threshold uncertainty score0.241

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 head0.006
GPT teacher head0.230
Teacher spread0.224 · 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

Citations47
Published2010
Admission routes1
Has abstractyes

Explore more

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