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Record W2343395963 · doi:10.1039/c6an00652c

Double remote electrochemical addressing and optical readout of electrochemiluminescence at the tip of an optical fiber

2016· article· en· W2343395963 on OpenAlexaff
Haidong Li, Patrick Garrigue, Laurent Bouffier, Stéphane Arbault, Alexander Kuhn, Nešo Šojić

Bibliographic record

VenueThe Analyst · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdvanced biosensing and bioanalysis techniques
Canadian institutionsCanadian Nautical Research Society
FundersCentre National de la Recherche ScientifiqueChina Scholarship CouncilAgence Nationale de la Recherche
KeywordsElectrochemiluminescenceOptical fiberOptoelectronicsElectrochemistryMaterials scienceFiberNanotechnologyOpticsChemistryElectrodePhysicsChromatographyComposite materialDetection limit

Abstract

fetched live from OpenAlex

In this work, we report an original strategy for the wireless electrochemical generation of light at the tip of an optical fiber bundle, coupled with a simultaneous remote readout. An optical fiber bundle coated with a nanometer-thin gold film acts as a dual platform, on the one hand to locally generate electrochemiluminescence (ECL) in a wireless manner by bipolar electrochemistry, and on the other hand to guide the resulting ECL signal. The light emission is triggered and collected at one end, transmitted by the waveguide and remotely detected at the opposite end. Integration of both functionalities at the level of the same miniaturized object leads to an unprecedented bipolar opto-electrode, allowing one to quantify the ECL intensity as a function of different parameters in a double remote approach with interesting potential applications, ranging from high-throughput catalyst screening to massive parallel biochemical analysis.

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 score0.006
Threshold uncertainty score0.252

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 studies0.0000.001
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 head0.013
GPT teacher head0.284
Teacher spread0.271 · 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

Citations14
Published2016
Admission routes1
Has abstractyes

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