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Record W2171683497 · doi:10.1109/jstqe.2009.2029874

In-Fiber Michelson Interferometer With Polymeric/Nanoparticle Thin-Film Overlay as a Platform for Biosensing

2009· article· en· W2171683497 on OpenAlexaff
Pawan Sandhu, Jian Yang, Changqing Xu

Bibliographic record

VenueIEEE Journal of Selected Topics in Quantum Electronics · 2009
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMaterials scienceRefractometerBiosensorMichelson interferometerCladding (metalworking)Refractive indexNanoparticleInterferometryCladding modeOptical fiberOptoelectronicsThin filmComposite numberOpticsNanotechnologyFiberFiber optic sensorComposite materialPolarization-maintaining optical fiber

Abstract

fetched live from OpenAlex

A polymeric-nanoparticle composite film is used, for the first time, to increase cladding mode evanescent field and, therefore, the sensitivity of an all-in-fiber Michelson interferometer for refractive index (RI) sensing. Utilization of the layer-by-layer polyelectrolyte deposition and metal nanoparticle synthesis within the polymeric composite film allows us to form precisely a very high RI thin overlay required for cladding mode reorganization. As a result, the developed refractomer demonstrates significant sensitivity enhancement over ambient RI change. Potential applications of the refractometer as a biosensor are outlined and discussed.

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 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 score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.243
Teacher spread0.234 · 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.

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

Citations8
Published2009
Admission routes1
Has abstractyes

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